Senior Graphics Driver Engineer
Nvidia
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This role on the market
52 open graphics roles across 20 companies are on ApplySarthi right now, most of them in Bengaluru (2), Hyderabad (1), Delhi NCR (1).
- Reuters News Internship Program 2027 (Temp Guild) - Graphics, New YorkThomsonreuters
- Senior Engineer, GraphicsScopely
- Graphics Hardware Validation Undergraduate Engineering InternIntel
- Machine Learning / Computer Graphics Engineer (remote part/full time) - Junior/Mid/SeniorImnoo AG
- Senior Graphics Designer, Prime Video SportsAmazon
What graphics roles keep asking for: C++ (54%), Python (29%), Linux (19%), Machine learning (13%) — counted across their open postings here.
C++ jobs · Perl jobs · Python jobs
Nvidia has 3,820 open roles listed here.
- Software Developer - Networking
- Manager, Silicon Circuit and Power Integrity - Silicon Co-Design Group
- Senior Physical Design Methodology Engineerbengaluru
- Electro Optics Student
- Manager, Software Verification
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for graphics roles keep coming back to C++, Python, Linux, Machine learning. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with C++? Tell me one thing you learned the hard way.
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
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Practise the Senior Graphics Driver Engineer at Nvidia interview free →NVIDIA is seeking an engineer who enjoys developing software and uncovering why complex professional applications behave the way they do. You will develop and optimize graphics software, analyze real-world application workloads, design experiments to isolate bottlenecks, debug quality and performance regressions, and collaborate with driver teams to turn your findings into measurable improvements. You will work with leading professional applications used for design, engineering, digital content creation, and visualization. You will also contribute to the development and analysis of industry-standard workstation benchmarks. This role offers opportunities to solve challenging technical problems while learning about advanced graphics, GPU computing, AI-assisted engineering, and emerging workstation technologies. What you’ll be doing Develop, debug, and validate graphics software and optimizations that improve professional application performance on NVIDIA GPUs. Analyze professional workstation applications and identify opportunities to improve performance and user experience. Design experiments and develop analysis techniques to isolate complex application-performance bottlenecks. Profile application and graphics API workloads using traces, performance counters, and other analysis techniques. Create tools, scripts, and automated workflows, including AI-assisted techniques, for performance analysis, regression detection, and validation. Collaborate with application developers and NVIDIA driver, architecture, and hardware teams to evaluate and deliver performance improvements. Develop representative workstation benchmarks that capture meaningful real-world application behavior. What we need to see BS, MS, or PhD in Computer Science, Software Engineering, Computer Engineering, or a related field—or equivalent experience. Strong C/C++ programming skills. 5+ years experience with software performance analysis, profiling, optimization, or debugging. Understanding of computer architecture, operating systems, and how applications interact with graphics APIs and GPU hardware. Familiarity with source-control systems such as Perforce or Git. Experience with software development methodologies such as design reviews and code reviews. Ability to develop and debug software in a Windows OS environment. Strong analytical, problem-solving, communication, and collaboration skills. Experience using AI-assisted development tools and enthusiasm for learning new technologies. Ways to stand out from the crowd Knowledge of graphics APIs such as OpenGL, Direct3D, or Vulkan. Experience developing low-level systems, graphics, driver, or performance-analysis software. Experience with application benchmarks or automated performance testing. Knowledge of statistical techniques for analyzing variance, repeatability, and performance results. Scripting experience with Python, Perl, or similar languages. Are you an analytical and highly motivated engineer who enjoys developing graphics software, understanding complex application workloads, and finding effective ways to make them run faster? If you are passionate about workstation performance and solving challenging engineering problems, you may be a great fit for NVIDIA. 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 20, 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.
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Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.