Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services - now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

Industry: IT Services and IT Consulting
Company Size: 10,001+ employees

Amazon Web Services (AWS)

Savvy Admin PROD

**Description**

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Key job responsibilities

-  As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications.

-  Integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing

-  Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.

-  Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints.

-  Perform lint and clock domain crossing quality checks on the design.

-  Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks.

**You Will Thrive In This Role If You**

-  Are familiar with scripting in Python

-  Are proficient with assertions

-  Have good debug skills to analyze RTL test failures

-  Have a "Learn and Be Curious" mindset

**About The Team**

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

**Basic Qualifications**

-  Bachelor's degree in Electrical Engineering or a related field

-  5+ years in RTL design for SOC

-  5+ years in VLSI engineering

-  5+ years with code quality tools including: Spyglass, LINT, or CDC

**Preferred Qualifications**

-  Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs

-  Master's degree in electrical engineering, computer engineering, or equivalent

-  5+ years of practical semiconductor design work including full-chip and subsystem integration experience

-  Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints

-  Experience with automation and scripting languages such as Python

-  Familiarity with data path design, interconnects, AXI protocol

-  Good analytical, problem solving, and communication skills

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually

**Company ** - Annapurna Labs (U.S.) Inc.

Job ID: A3205794

Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs

Enexus Global, is a premier onsite/offshore software solutions and services company, headquartered in the Silicon Valley with offices across the United States, India.

Some noteworthy achievements include: transforming a bank with efficient business solutions involving the Core Banking System (CBS), creating an E-commerce store for a Retail business giant with the latest security solutions, and building a database designer with a hierarchical system for communicating in a hospital or clinic. These achievements and possibilities emerged because our clients’ trust in our expertise that includes a vast array of technological development services. Our exceptional leaders and engineers work on software applications, web development, mobility solutions, and cloud-based services. Our best practices and progressive work culture has also maneuvered us into R&D of augmented reality.

We work closely with our clients to help them successfully build and execute their most critical strategies. Enexus Global has a proven track record of delivering results through its global delivery centers and flexible engagement models for over 450 brands ranging from Fortune 100 to growing companies. Enexus Global provides a variety of services including Enterprise Applications, Mobility, Big Data/BI, Staffing Services, and Cloud Solutions. Our enterprise clientele includes leading companies like eBay, PayPal, DIRECTV, Expedia, Oracle, Cisco, and many more

The talent nurtured at Enexus Global, combined with our global network make us your best ally. We provide support for a variety of organization sizes, and are committed to our clients to utilize available resources, to ensure that our services are tailored to meet all client specific requirements.

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

Enexus Global Inc.

**Data Engineer (PySpark, Hadoop, Scala) - Walmart - Sunnyvale, CA (hybrid). **

Need Local candidates only- Strict

**DO not send 6/7 year Data engineers., Need 2 years maximum with a Master's degree. **

Skill Set: Can perform Pyspark, Hadoop, Scala, ETL,

Day to Day: Working on Walmart signals and table. Preparing and processing raw data from users and creating tables for Walmart.

Considered the pre-machine learning.

(would like to see someone with a master's w/ 1-2 years ex)Very hungry to learn.

Bonus: Machine Learning Background.

Interview: one Coding round.

Job Responsibilities

Working on Walmart signals and table. Preparing and processing raw data from users and creating tables for Walmart.

Considered the pre-machine learning.

Junior Data Engineer(Hadoop, Scala)

At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.

Industry: Software Development
Company Size: 10,001+ employees

DoorDash

**About The Team**

Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business.

**About The Role**

We’re looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams.

You will report into the engineering manager on our Personalization team. We expect this role to be hybrid with some time in-office and some time remote ().

**You’re Excited About This Opportunity Because You Will…**

- Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space

- Partner with engineering and product leaders to help shape the product roadmap applying ML

- Mentor junior team members, and lead cross functional pods to create collective impact

You can find out more on our ML blog here

**We’re Excited About You Because You Have…**

- 8+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production.

- M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field

- Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms & LLMs is a plus.

- Machine learning background in Python; experience with PyTorch or TensorFlow preferred.

- Ability to communicate technical details to nontechnical stakeholders

- You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down

- Desire for impact with a growth-minded and collaborative mindset

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

**Compensation**

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here.

**See Below For Paid Time Off Details**

- For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.

- For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

**The national base pay ranges for this position within the United States, including Illinois and Colorado.**

I4

$137,100—$201,600 USD

I5

$167,800—$246,800 USD

I6

$203,500—$299,300 USD

**About DoorDash**

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

**If you need any accommodations, please inform your recruiting contact upon initial connection.**

Staff Software Engineer, Machine Learning - Personalization

Intel’s mission is to shape the future of technology to help create a better future for the entire world. By pushing forward in fields like AI, analytics and cloud-to-edge technology, Intel’s work is at the heart of countless innovations. From major breakthroughs like self-driving cars and rebuilding the coral reefs, to things that make everyday life better like blockbuster effects and improved shopping experiences — they’re all powered by Intel technology. With a career at Intel, you have the opportunity to help make the future more wonderful for everyone.

Join us.

Industry: Semiconductor Manufacturing
Company Size: 10,001+ employees

Intel Corporation

**Job Details**

Job Description:

Are you passionate about where cutting-edge AI meets hands-on hardware expertise? We're looking for an innovative entry-level Data Center Infrastructure DevOps Engineer to join our dynamic team and help revolutionize how we manage compute infrastructure. In this exciting role, you'll be at the forefront of merging traditional data center operations with intelligent automation, working alongside experienced engineers to transform AI-enhanced concepts into real-world infrastructure solutions. If you're ready to dive into a role where your technical skills in Python, hardware, and machine learning can directly impact the reliability, security, and scalability of enterprise-level systems, we'd love to hear from you.

This role fuses traditional compute operations with intelligent, cognitive software automation. We are seeking a highly motivated, entry level Data Center Infrastructure DevOps engineer who can help us drive compute infrastructure and server platforms reliability, security, and scalability by championing automation first practices. You'll work side by side with senior engineers, translating AI enhanced concepts into concrete, repeatable infrastructure solutions.

**Key Responsibilities**

- Perform routine maintenance, diagnose and replace failed server components, upgrade memory/CPU, and run preventive maintenance inspections on compute racks.

- Build lightweight monitoring dashboards and configure alert rules to catch performance anomalies, capacity thresholds, or security events before they impact users.

- Develop python-based automation for smart infrastructure decisions including predictive maintenance using computer vision models and continuous model improvement via feedback loops.

- Apply hardening guidelines (patch management, least privilege access), participate in audits, and maintain architectural diagrams for all automated processes.

- Excellent written and verbal communication.

**Qualifications**

**Minimum Qualifications**

- Bachelor's degree in Computer Science, Cognitive Science, or related specialized field.

- Python programming proficiency (scripts, Jupyter/Colab notebooks).

- Compute server hardware expertise (building, over-clocking, component selection) experience.

- Hands on experience with AI/ML pipelines.

**Preferred Qualifications**

- Demonstrates analytical thinking and exposure to interdisciplinary problem solving.

- Knowledge of compute server bare metal provisioning, hardware diagnostics, and performance tuning.

- Understanding of Windows, macOS, and Linux operating systems

**Job Type**

College Grad

**Shift**

Shift 1 (United States of America)

Primary Location:

US, California, Santa Clara

Additional Locations:

**Business Group**

IT is the trusted technology partner for Intel's business, relentlessly focused on the experience of our people, our end users, and our customers. We design and support Intel's IT infrastructure, driving e-Commerce and web services with a focus on robust security and identity protection.

**Posting Statement**

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

**Benefits**

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $85,950.00 - 141,950.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

**Work Model for this Role**

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Infrastructure and DevOps Engineer

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Industry: Computer Hardware Manufacturing
Company Size: 10,001+ employees

NVIDIA

At NVIDIA, we're at the forefront of innovation, driving advancements in AI and machine learning to solve some of the world’s most challenging problems. We're seeking talented and motivated engineers to join our TensorRT team in developing the industry-leading deep learning inference software for NVIDIA AI accelerators.

As a Senior Software Engineer in the TensorRT team, you will be responsible for designing and implementing inference software optimizations to power AI applications on NVIDIA GPUs. If you're ready to take on challenging projects and make a significant impact in a company that values creativity, excellence, and collaboration, we want to hear from you!

**What You’ll Be Doing**

- Design, develop and optimize NVIDIA TensorRT and TensorRT-LLM to supercharge inference applications for datacenter, workstations, and PCs.

- Develop software in C++, Python, and CUDA for seamless and efficient deployment of state-of-the-art LLMs and Generative AI models.

- Collaborate with deep learning experts and GPU architects throughout the company to influence Hardware and Software design for inference.

**What We Need To See**

- BS, MS, PhD or equivalent experience in Computer Science, Computer Engineering or a related field.

- 4+ years of software development experience on a large codebase or project.

- Strong proficiency in C++ (required), Rust or Python programming languages.

- Experience in developing Deep Learning Frameworks, Compilers, or System Software.

- Excellent problem-solving skills and passion to learn and work effectively in a fast-paced, collaborative environment.

- Strong communication skills and the ability to articulate complex technical concepts.

**Ways To Stand Out From The Crowd**

- Experience in developing inference backends and compilers for GPUs.

- Knowledge of Machine Learning techniques and GPU programming with CUDA or OpenCL.

- Background in working with LLM inference frameworks like TensorRT-LLM, vLLM, SGLang.

- Experience working with deep learning frameworks like TensorRT, PyTorch, JAX.

- Knowledge of close-to-metal performance analysis, optimization techniques, and tools.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. Come, join our team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

, , JR2016047

Senior Software Engineer, Machine Learning Inference

SK hynix memory solutions America Inc. (SKHMS America) was formed in August 2012 as a result of the acquisition of Link_A_Media Devices Corporation (LAMD) by SK hynix. 



*About SK hynix*

SK hynix will present a valuable future to stakeholders, including customers, partners, investors, communities, members, and so on through Global Tech Leadership, thereby enriching and further developing the global ICT industry. We are also sharing our expertise and experience in the semiconductor field gained from the establishment of our “We Do Tech Center” along with investments in technical cooperation for our partners, thereby striving to boost the semiconductor ecosystem.

*About SKHMS America*

The integration of the controller solution know-how of SKHMS combined with the Advanced Non-volatile memories, DRAM technologies and the manufacturing capabilities of SK hynix produces leading-edge products across multiple market segments. Full vertical integration of controller hardware, advanced flash memory systems architecture, firmware, DRAM, NAND and other forms of non-volatile memory coupled with high volume memory manufacturing capability is quite rare in the industry. This allows our customers to have a one-stop storage solution provider with the capacity, support and expertise the industry demands. The combined focus of SK hynix and SKHMS provides excellent opportunity to become a market leader in Enterprise, Client and Mobile storage.

Some notable company achievements:

-SK hynix 1st with LDPC error correction solution

-Delivered high performing competitive PCIe/SATA Controller for enterprise/client SSD with 2D/3D/4D NAND
                - SATA – SE3010/SE4011
                - PCIe – PE4010/PE6000 series/PE8000 series

-Developed highest performance eMMC Controller and delivered highest performance MPHY IP for UFS Controller for smartphones and tablets

Industry: Semiconductor Manufacturing
Company Size: 201-500 employees

SK hynix memory solutions America Inc.

**About The Company**

**At SK Hynix Memory Solution, ** we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.

We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.

**About The Team**

At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards.

**Responsibilities**

- Develop and execute comprehensive test plans for PCIe and NVMe enterprise SSDs (eSSDs), monitoring test progress, identifying potential issues, and delivering detailed reports to ensure alignment with design specifications, customer requirements, and industry standards.

- Analyze test results and logs, drive root-cause analysis for failures.

- Collaborate cross-functionally with SOC, Firmware, and Hardware teams to reproduce, analyze, and resolve device and system-level issues.

- Drive coordinated debugging efforts to ensure robust integration, system reliability, and product quality through proactive communication and teamwork.

**Minimum Qualifications**

- Bachelor’s degree in Electrical Engineering, Computer Science, Computer Engineering, or related field.

- Proficient in programming languages such as python, C/C++, etc.

- Familiarity with software testing or automation scripting.

- Strong analytical and problem-solving skills.

**Preferred Qualifications**

- Familiarity with Linux/Windows OS, command-line tools, and storage utilities.

- Previous related project experiences.

- Excellent communication and collaboration skills.

**COMPENSATION: $35/hr - $45/hr **

Product Application Engineer Intern

Tenstorrent is a next-generation computing company that builds computers for AI.  

Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, RISC-V technology, advanced systems, and neural network compilers. Tenstorrent is backed by Eclipse Ventures and Real Ventures, Archerman Capital, Samsung Catalyst Fund, and Hyundai Motor Group among others.
 
Join us: www.tenstorrent.com/careers.

Industry: Computer Hardware Manufacturing
Company Size: 201-500 employees

Tenstorrent

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

As a C++ Machine Learning Engineer on the AI Models team at Tenstorrent, you’ll work on the training framework behind our most advanced models. You’ll write high-performance C++ code, shape how new layers and operators are implemented, and help models scale across our custom silicon. If you enjoy building the guts of ML systems and seeing them run fast, this role is for you.

This role is hybrid, based out of Santa Clara, CA.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

**Who You Are**

- Strong in C++ and low-level systems programming, especially in performance-critical code.

- Comfortable thinking in tensors, memory layout, and compiler graphs.

- Familiar with PyTorch and curious about how frameworks map to hardware.

- A builder who enjoys solving technical puzzles and digging into the details.

**What We Need**

- Extend and optimize our ML training framework with new ops, layers, and training features.

- Debug and tune model performance on Tenstorrent chips.

- Work with compiler and kernel teams to make sure models compile and run as expected.

- Support integration of real-world models and help bring them into production.

**What You Will Learn**

- How ML frameworks and compilers connect at the system level.

- How to translate training workloads into low-level operations optimized for custom silicon.

- How large-scale model training works under the hood, from memory layout to operator fusion.

- What it takes to build infrastructure that supports fast iteration in research and production.

~~Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.~~

~~Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.~~

~~This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded. ~~

C++ Machine Learning Engineer, AI Models Training

Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom platform you know and love. 💙

Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses.

We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you’ll work across teams to dig deep into impactful projects that are changing the way people communicate, and find room to grow with opportunities to stretch your skills and advance your career in a diverse, inclusive environment. 

Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home

Industry: IT Services and IT Consulting
Company Size: 5,001-10,000 employees

Zoom

**What You Can Expect**

You will be responsible for designing and developing high-quality software applications. You will collaborate with cross-functional teams to understand requirements, develop software solutions and contribute to the entire software development lifecycle. You will ensure that products are delivered timely and within budget, meeting the needs of our customers.

**About The Team**

Our engineering team is a dynamic, collaborative, and inclusive group made up of eight specialized departments. Each department is dedicated to delivering seamless and innovative communication solutions—from software development and machine learning to quality assurance. Together, we design and maintain user-friendly interfaces and robust infrastructure that connect people across the globe, regardless of distance.

We value diversity in all its forms and believe that different perspectives drive innovation. Every team member plays a vital role in shaping the future of communication technology.

**Responsibilities**

- Designing and developing responsive, scalable, and secure frontend applications based on React technology stack, delivering high-quality user experiences.

- Designing and implementing efficient, modular, and reusable frontend component systems, promoting the development of unified component libraries and design systems.

- Exploring and optimizing browser underlying capabilities (Web APIs, rendering mechanisms, network communication, etc.) to solve complex technical challenges.

- Developing and enhancing real-time audio/video features (using WebRTC and related technologies) to ensure stability and low-latency performance.

- Introducing and practicing unit testing and test-driven development (such as Jest, Vitest, React Testing Library) to improve code quality and reliability.

- Participating in design reviews, code reviews, and technical solution discussions to ensure project delivery quality and technical consistency.

- Collaborating closely with backend engineers, participate in API design and optimization to enhance frontend-backend integration efficiency and data interaction experience.

- Staying curious and current with emerging frontend technologies, helping to drive continuous improvement and best practices within the team.

**What We’re Looking For**

- 5+ years of experience in full-stack or frontend software development with solid coding skills.

- Demonstrate a highly positive attitude while fostering trust, building consensus, and cultivating collaboration and relationships across various organizational levels. Demonstrate proficiency in JavaScript and TypeScript with solid programming fundamentals.

- Demonstrate expertise in React ecosystem (Hooks, state management, performance optimization, etc.) with large-scale project experience.

- Understand browser internals and principles.

- Demonstrate familiarity with WebRTC or real-time audio/video related technologies.

- Show proficiency in common frontend engineering tools (Webpack / Vite / Babel, etc.).

- Demonstrate an excellent code style and technical documentation writing skills.

- Demonstrate proficiency in AI-assisted programming with hands-on experience using AI coding tools.

**Minimum**

**Salary Range or On Target Earnings:**

$98 900,00

**Maximum**

$228 700,00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

**Anticipated Position Close Date**

04/17/26

**Ways of Working**

Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

**Benefits**

As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.

**About Us**

Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.

We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

**Our Commitment**

At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

Software Development Engineer

Akraya is your trusted partner for Digital Transformation. Our global teams deliver scalable Product Engineering, Data, AI and talent solutions that accelerate outcomes and build future-ready enterprises. Recognized by Glassdoor as a top workplace, we combine people-first values, deep expertise and transformative processes to drive measurable business impact.

Industry: IT Services and IT Consulting
Company Size: 201-500 employees

Akraya, Inc.

**Primary Skills: ** SQL (Expert), Excel (Expert), Python (Intermediate), Machine Learning (Intermediate), Tableau (Advanced)

Contract Type:  W2 Only

Duration:  6+ Months with Possible Extension

Location: San Jose, CA ( - Hybrid)

Pay Range: $42-47/Hr. on W2

#LP

**Job Summary:**

We are seeking a Senior Business Analyst to join our Global Risk & Protections team, aiming to enhance risk management strategies and ensure a phenomenal user experience on our global commerce platform. This role entails developing insights from risk data, creating and implementing comprehensive risk policies, and collaborating with cross-functional teams to maintain and adjust risk controls effectively. Candidates will leverage advanced analytics to drive strategic decisions and optimizations across the company.

**Key Responsibilities: **

- Develop and articulate risk insights by analyzing data from various sources to improve risk controls.

- Design and implement comprehensive risk policy frameworks, addressing credit risk, fraud prevention, and other portfolio risks.

- Continuously monitor and optimize risk strategies to enhance their effectiveness.

- Collaborate with global teams to establish and implement scalable risk management policies.

- Engage with product and analytical teams to craft innovative solutions for risk challenges.

**Must-Have Skills: **

- Proficiency in SQL and Excel.

- Experience with analytics and data visualization using Tableau.

- Strong quantitative and analytical capabilities.

**Industry Experience: **

- Background in e-commerce, banking, fintech, or related industries is preferred.

**ABOUT AKRAYA**

Akraya is an award-winning IT staffing firm consistently recognized for our commitment to **excellence and a thriving work environment **. **Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!**

**Industry Leaders in Tech Staffing**

As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. **We don't just connect you with great jobs, we connect you with a workplace that inspires!**

**Join Akraya Today!**

Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

Business Analyst (Risk & Analytics) : 26-01046

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