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

Savvy Admin PROD

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

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.

The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

Industry: Internet Marketplace Platforms
Company Size: 10,001+ employees

Uber

**Employer: ** Uber Technologies, Inc.

**Job Title: ** Software Engineer I

**Job Location: ** Sunnyvale, California

**Job Type: ** Full Time

**Rate of Pay: ** $153,000 to $169,000 per year

You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .

**Duties: ** Innovate, architect, develop, and scale Uber's Java ecosystems. Develop and maintain core Java libraries that are used across Uber. Work with cutting-edge code transformer tools such as OpenRewrite and leverage GenAI to automate large-scale code transformation. Apply technical knowledge to evaluate complex data, developments, and projects in order to provide recommendations to resolve technical issues. Support the company's business operations and improve engineering productivity. Build software components that can be integrated into a fully functional software system. Solve production issues in product and system reliability. May telecommute.

Employer will accept a Bachelor's degree in Computer Science, Engineering (Any), Information Technology, Mathematics, Physics, or related field, and six months of experience in the job offered or in a related occupation.

**Position Requires 6 Months In**

-  C/C++, Python, Java, or C#;

-  GIT or SVN;

-  SQL or MySQL;

-  Data structures and algorithms development and functionality;

-  Designing technology stacks;

-  Debugging and monitoring for production services;

-  Distributed systems;

-  Software Development Lifecycle.

Software Engineer I

**Employer: ** Uber Technologies, Inc.

**Job Title: ** Sr Software Engineer

**Job Location: ** Sunnyvale, California

**Job Type: ** Full Time

**Rate of Pay: ** $264,514 to $317,417 per year

You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .

**Duties: ** Design, develop, and maintain robust and scalable advertising serving systems. Collaborate with product managers, cross engineering teams, data scientists and other partners to gather requirements and translate them into ads serving technical specifications. Identify opportunities and lead entire development lifecycle end-to-end, from architecture design and coding to testing and deployment. Conduct thorough code reviews, offering constructive feedback to maintain high code quality and elevate coding standards. Stay up-to-date with latest technologies and industry trends in ad tech, and distributed systems, evaluating their potential impact on ads stack and recommending appropriate integrations or improvements. Mentor and guide other engineers, providing technical leadership and encouraging collaborative and growth-oriented team environment. May telecommute.

Employer will accept a Bachelor's degree in Computer Science, Engineering (Any), Information Systems Management, Mathematics, Economics, or related field, followed by five years of progressive, post-baccalaureate experience in the job offered or in a related occupation.

**Position Requires Five Years In**

-  Programming language (C, C++, Java, Python, or Go);

-  Algorithms, data structures, and complexity analysis;

-  Designing and building low-latency large distributed systems;

-  Crafting maintainable and scalable software;

-  Integrating and productionizing machine learning or deep learning models;

-  Building batch and real-time streaming data pipelines;

-  GIT or SVN;

-  SQL or MySQL.

Sr Software Engineer

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI and enabled the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that matter to the world, and that only we can tackle. This is our life’s work, to amplify human imagination and intelligence, and expand what is possible. Make the choice to join us today.

As a software engineer in our internal infrastructure group, you will craft services, tools and libraries for enhancing engineering productivity of our teams with the goal of enabling security and compliance of our IP with minimal customer effort. This will help secure workflows for worldwide chip development, verification, and artificial intelligence. You will continuously innovate and develop scalable, reliable, best in class systems and tools to enable the next generation of chips in collaboration with the best engineers in the world at NVIDIA!

**What You'll Be Doing**

- Design and implement new services, tools and libraries to make our customers' workflows "Secure By Default".

- Be responsible for the complete lifecycle from architecture to production deployment of security tooling.

- Partner with chip design, security and AI teams to understand complex workflows and translate their requirements into technical software solutions.

- Directly contribute to the overall quality of and improve time to market for our next generation chips and deep learning models.

**What We Need To See**

- Proficiency developing and deploying Python systems in a Linux environment.

- Proven strong foundation in object-oriented design and software architecture patterns.

- Hands-on experience with CI/CD pipelines (GitLab, GitHub, or Perforce) and DevOps practices.

- Consistent track record of owning features end-to-end including testing, deployment, and monitoring.

- Excellent planning, interpersonal and problem solving skills.

- Flexibility/adaptability working in a dynamic environment with unique challenges and requirements.

- A passion for improving the efficiency and effectiveness of other specialists and engineers.

- BS/MS in Computer Science/Engineering or equivalent experience with 5+ years experience using those skills.

**Ways To Stand Out From The Crowd**

- Expertise in Python backends (FastAPI, Django, or Flask) with production-scale deployments

- Cloud-native infrastructure experience: Kubernetes orchestration, microservices architecture, and observability (OpenTelemetry)

- Knowledge of databases, data lakes, and operating on large data sets (MongoDB, OpenSearch, PostgreSQL)

- Familiarity with Export Control Compliance or IP Security

- Experience with EDA tools, chip design workflows, or ML infrastructure

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 13, 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.

, , JR2003378

Senior Backend Software Engineer

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Check out our career opportunities at goo.gle/3DLEokh

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

Google

**Minimum qualifications:**

- Bachelor's degree or equivalent practical experience.

- 2 years of experience with security assessments or security design reviews or threat modeling.

- 2 years of experience with security engineering, computer and network security and security protocols.

- 2 years of coding experience in one or more general purpose languages.

**Preferred qualifications:**

- Knowledge of security engineering, computer and network security, authentication, security protocols and applied cryptography.

**About The Job**

Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities.

In this role, you will perform realistic offensive security exercises to simulate real attacks, test and improve our detection and response capabilities, and to identify how attackers could infiltrate and move inside our infrastructure.

With your technical expertise, you will come up with scenarios that advanced adversaries might try to compromise our security, and execute these attacks in a safe manner and in accordance with our rules of engagement. As a member of the offensive security team, you will both emulate the techniques used by known hacker groups, and come up with new techniques that adversaries might attempt in the future.

After each exercise, you will thoroughly document any findings, and present the results to colleagues as well as leadership. You will work closely with members of the blue teams to improve our detection capabilities, and other parts of security team and affected product teams to design defense controls that limit attackers' ability to move inside our network. You will use your excellent judgement to suggest improvements where they are most impactful.

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

**Responsibilities**

- Work with a team of highly skilled hackers on Red Team exercises.

- Build tools and infrastructure to support our exercises.

- Provide guidance on controls and improvements to sharpen our capabilities to defend against attackers in close cooperation with the teams responsible for implementing them.

- Document and present results to a variety of audiences, ranging from highly technical engineers over non-technical subject matter experts to leadership.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Security Engineer, Offensive Security/Red Team

Coretek Labs is a AI-focused software engineering partner that empowers organizations across the globe with innovative solutions, unparalleled execution capabilities and unwavering focus on customer satisfaction.

With our core in tech agility & process orientation, we help businesses evolve & elevate their value proposition & look beyond technology.

Industry: Software Development
Company Size: 51-200 employees

CoreTek Labs

**System Engineer with Industrial Protocol **

**Location: On-site, Santa Clara, CA **

**12+ Months Contract **

**Required Qualifications **

- 10+ or more years of professional software engineering experience, with a demonstrated record of delivering production systems.

- Deep expertise in software design and architecture. This role involves substantial use of AI-assisted development tooling, and success depends on the ability to produce precise, unambiguous specifications that can be implemented reliably and verified against clear acceptance criteria.

- Hands-on experience building AI agents or agentic workflows in production environments, including tool use, state management, and reliable execution under real-world conditions.

- Practical experience with **Microsoft Azure AI Foundry or a directly comparable enterpriseAI ** platform for building and deploying agent-based services.

- Strong Python development skills. Agent services will be built primarily in Python and must be well-structured for extensibility and long-term maintainability.

- Demonstrated experience working with industrial **device protocols, specifically Modbus, BACnet, and OPC-UA. **The contractor must be able to build agent integrations that communicate with physical devices accurately and reliably.

- Experience working with digital twin concepts or asset registry systems, including the challenges of keeping a software representation of a physical environment consistent overtime.

System Engineer

**Minimum qualifications:**

- Bachelor's degree or equivalent practical experience.

- 8 years of experience in software development.

- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

**Preferred qualifications:**

- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

- 8 years of experience with data structures and algorithms.

- 3 years of experience in a technical leadership role leading project teams and setting technical direction.

- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

**About The Job**

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Our team is focused on bringing Google's Applied AI to the market! Our mission is to pioneer the development of conversational AI, enabling developers to build generative AI agents capable of engaging in complex, open-ended dialogues and completing autonomous tasks. Gemini said

Core Infra provides the foundation for this mission, driving critical efforts like Centralized Compliance, Conversation History Logging powering various customer facing and internal analytics. You will be passionate about building centralized expertise for horizontals or compliance and advance road map for Applied AI (AAI) products in this space.

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (DeepMind/Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

**Responsibilities**

- Drive the technical direction and multi-year road map for conversational agent data systems, collaborating with Principal Engineers to align infrastructure capabilities with the rapid evolution of Generative AI and Agentis verticals.

- Architect and implement scalable, high-performance data solutions using Spanner and Google Cloud Platform (GCP), balancing the demands of real-time runtime storage with the complexity of massive-scale offline analytics.

- Act as the primary technical liaison for cross-functional partner teams, clarifying project scope and setting the architectural direction for both the producers and consumers of core product data.

- Advocate a culture of production excellence by leading design and code reviews across cross-site organizations.

- Support critical infrastructure investments that address scalability bottlenecks, technical debt, and operations, guiding the team through complex migrations in a high-velocity environment.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Staff Software Engineer, ML Infrastructure, Core Infra

Siemens EDA, a segment of Siemens Digital Industries Software, is a technology leader in software and hardware for electronic design automation (EDA). Siemens EDA offers proven software tools and industry-leading technology to address the challenges of design and system level scaling, delivering more predictable outcomes when transitioning to the next technology node. With a closed-loop digital twin managing the silicon lifecycle, data can move freely between design, manufacturing and the cloud for chips, boards and electrical and electronic systems. Our commitment to openness and industry alliances facilitates collaboration and interoperability across the EDA and electronics ecosystem -- Siemens is where EDA meets tomorrow.

Industry: Software Development
Company Size: 1,001-5,000 employees

Siemens EDA (Siemens Digital Industries Software)

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design.

We are looking for a highly motivated Quality Assurance Engineer to join the Semi-Manufacturing team in the Calibre business unit within the Design-to-Silicon division at Siemens EDA. In this role, you will be responsible for the qualification and continuous quality improvement of core Semi-Manufacturing products in the Calibre suite, including the design, development, and automated execution of application-specific functional, performance, and regression tests.

You will work closely with software developers, product engineering, and product marketing to enable timely, high-quality releases that meet our customers’ advanced semiconductor manufacturing requirements. This includes developing test plans, maintaining regression suites, creating automation frameworks, generating and analyzing regression reports, and improving testing pipelines using modern methodologies.

Candidates should demonstrate experience in next-generation AI integration into QA workflows and AI-driven quality methodologies, as well as the ability to apply these techniques to EDA tools. This includes leveraging Machine Learning (ML) models to detect anomalies in regression behavior and using Agentic AI to generate test scenarios, validate specifications, create intelligent QA assistants, and enhance automated debugging. Knowledge of semiconductor lithography processes and Electronic Design Automation (EDA) tools is an advantage.

**Job Qualifications**

- MS plus 3 years of experience in Computer Science, Electrical Engineering, Physics, Mathematics, or a related field, or equivalent practical experience.

- Strong proficiency in Unix/Linux environments.

- Hands-on experience with shell scripting and interpreted languages such as Python; familiarity with additional scripting or automation languages is a plus.

- Demonstrated ability to learn new technologies quickly and apply analytical problem-solving skills effectively.

- Strong collaboration skills, with the ability to work efficiently across global teams and time zones.

- Excellent written and verbal communication skills.

- Solid understanding of software quality assurance principles, including building and maintaining automated regression suites.

- Hands-on experience with product testing, including designing test plans, creating and executing functional and performance tests, analyzing defects, and validating complex software features in production-grade environments.

- Experience applying AI/ML techniques in software testing (e.g., anomaly detection, AI-assisted test generation, automated log summarization, or pattern recognition).

- Familiarity with LLMs, multimodal AI, or Agentic AI frameworks to enhance QA productivity, test coverage, or workflow automation.

- Prior experience with QA automation frameworks and CI/CD integrations is a plus.

- Knowledge of computational lithography (RET/OPC), photolithography simulation, or related physical modeling processes is a plus.

- Ability to work onsite at Siemens facilities in Santa Clara, CA, or Wilsonville, OR.

This position will be subject to U.S. export control requirements under the International Traffic in Arms Regulations (ITAR) and/or Export Administration Regulations (EAR). Employment is contingent on either verifying the U.S. Person status or obtaining any necessary export license.

**Why us?**

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. A collection of over 377,000 minds building the future one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!

**Siemens Software. ** **Transform the Everyday with Us**

109,800 197,700 5-8

SW QA Engineer – Advanced

**About The Role**

The Uber Eats Home Feed is the digital storefront for millions of users worldwide. As a Senior Engineer on this team, you will build a hyper-personalized experience that directly drives Uber's top-line growth. You won't just be ranking restaurants; you'll be architecting a high-concurrency engine that balances complex objectives across Ads, Grocery, Retail, and Food Delivery. This is a high-stakes, low-latency environment where your code determines how billions of dollars in gross bookings are distributed across diverse lines of business.

-  What the Candidate Will Do ----

-  Design and develop robust backend services to support the evolving Uber Eats Feed, ensuring sub-second response times for global traffic.

-  Partner with Product, Data Science, and ML teams to deliver innovative features that balance user personalization with business goals like Ad revenue and Grocery expansion.

-  Take end-to-end ownership of large-scale features, from initial technical design and RFCs to implementation and post-launch optimization.

-  Architect efficient APIs and storage strategies to handle the real-time data flows required for a dynamic, multi-vertical marketplace.

-  Mentor junior and mid-level engineers through rigorous code reviews, design critiques, and the promotion of engineering best practices.

-  Contribute to the Feed team's technical strategy by identifying architectural bottlenecks and proposing long-term solutions.

-  Basic Qualifications ----

-  Professional software development experience, with a proven track record of shipping production-grade backend services.

-  Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

-  Strong proficiency in at least one backend language, preferably Go or Java.

-  Demonstrated ability to design and implement distributed systems that handle high traffic and large-scale data sets.

-  Preferred Qualifications ----

-  Prior experience building Discovery, Search, or Recommendation systems at scale.

-  Hands-on experience with NoSQL databases (Cassandra, Schemaless), distributed caching (Redis, Memcached), and message queues (Kafka).

-  Familiarity with integrating Machine Learning models into real-time production workflows and managing high-throughput data pipelines.

-  Deep understanding of observability, performance profiling, and "five-nines" reliability engineering.

-  Passion for building engaging and delightful product experiences for customers.

For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Senior Software Engineer

Find Software Engineer jobs in Santa Clara, CA with Savvy's AI Recruiter. Browse opportunities from top companies and get matched with roles that match your skills using our intelligent recruitment system.