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

Savvy Admin PROD

**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

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.

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Senior Software Engineer, Machine Learning Inference

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.

- 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

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