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Nvidia Engineering Jobs in Austin, TX (NOW HIRING)

Nvidia

Senior LLVM Compiler Engineer

Austin, TX

$103K - $142K/yr

... NVIDIA's technical needs through credible engineering arguments, prototypes, and sustained community engagement Collaborate with internal compiler teams to identify which downstream capabilities are ...

Nvidia

Senior LLVM Compiler Engineer

Austin, TX

$103K - $142K/yr

Advocate for NVIDIA's technical needs through credible engineering arguments, prototypes, and sustained community engagement * Collaborate with internal compiler teams to identify which downstream ...

Nvidia

Senior Compiler Engineer Infrastructure

Austin, TX · On-site +1

$107K - $146K/yr

... engineering workflows Background in GPU programming, CUDA, or parallel programming models Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With highly ...

Nvidia

Senior Developer Technology Engineer - AI

Austin, TX · Hybrid

$54 - $71.25/hr

... at NVIDIA. What we need to see: * A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience). * You have 8+ ...

Nvidia

Senior Compiler Engineer Infrastructure

Austin, TX · On-site +1

$107K - $146K/yr

... engineering workflows * Background in GPU programming, CUDA, or parallel programming models * Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With highly ...

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Nvidia Engineering information

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$46.1K

$145.6K

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How much do nvidia engineering jobs pay per year?

As of Sep 8, 2026, the average yearly pay for nvidia engineering in Austin, TX is $145,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $171,500.00 per year, depending on experience, location, and employer.

What is an Nvidia engineer?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

What types of projects do Nvidia engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

What are the key skills and qualifications needed to thrive as an Nvidia engineer, and why are they important?

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What are the most commonly searched types of Nvidia Engineering jobs in Austin, TX?

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Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Austin, TX as of September 2026, with employment types broken down into 1% Internship, 79% Full Time, 10% Part Time, 7% Temporary, 2% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $145,577 per year, or $70 per hour.

Senior Backend Platform Engineer - Profiling Services

Austin, TX • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

Full-time

Re-posted 11 days ago

Key responsibilities

  • Design and build production backend services for interactive performance analysis and collaborative workflows.

  • Improve the responsiveness, scalability, and efficiency of data-intensive product experiences.

  • Develop reliable capabilities for onboarding, validating, organizing, and serving large performance datasets.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA's Developer Tools team is seeking a Senior Backend Platform Engineer to build scalable and reliable capabilities for profiling services. This role combines production backend engineering with data-intensive systems work. You will improve how complex performance data is processed, served, and operated. The work involves close collaboration with partners in frontend, security, product, and source systems.

What you'll be doing:

  • Design and build production backend services for interactive performance analysis and collaborative workflows.

  • Improve the responsiveness, scalability, and efficiency of data-intensive product experiences.

  • Develop reliable capabilities for onboarding, validating, organizing, and serving large performance datasets.

  • Create durable service interfaces and data models that can evolve as product needs grow.

  • Engineer resilient behavior for concurrency, partial failures, retries, and recovery.

  • Establish effective testing, observability, and operational practices for the capabilities you own.

  • Partner with frontend, security, product, and source-system teams to deliver complete customer workflows.

What we need to see:

  • BS or MS in Computer Science, Data Engineering, or a related field, or equivalent experience.

  • 5+ years of experience building production backend services, distributed systems, analytical systems, or data platforms using Python or a comparable language.

  • Strong software engineering fundamentals, including automated tests, failure handling, production diagnostics, and compatible evolution of APIs or stored data.

  • For service-focused work, experience with asynchronous backends and hands-on depth in query execution or real-time stateful systems.

  • For data-focused work, strong SQL and experience with ingestion, schema evolution, analytical storage, or query-optimized data modeling.

  • Sound judgment about failure and concurrency, demonstrated through problems such as cancellation, replay, safe retries, or recovery.

  • Ability to measure system behavior and turn logs, metrics, traces, load tests, or data-quality signals into practical improvements.

  • A record of working across client, service, data, and security concerns to ship a complete production workflow.

Ways to stand out from the crowd:

  • Practical coding skills in Python, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued.

  • Experience making high-cardinality, time-indexed, trace, telemetry, or profiling workloads responsive at scale.

  • Experience keeping live state consistent with WebSockets, pub/sub, replay, or comparable real-time techniques.

  • Experience improving analytical reads or ingestion with columnar formats, embedded query engines, analytical stores, progressive detail, or incremental processing.

  • Background in generated clients, secure sharing, authorization-aware caching, provenance, lifecycle automation, or cost attribution.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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