NVIDIA
HPC Performance Engineer

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NVIDIA HPC Performance Engineer Opportunity
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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for a HPC Performance Engineer in our NVHPC compilers & tools group. Our performance engineers analyze High Performance Computing (HPC) applications with the intent of improving performance by driving compiler optimizations and library enhancements. This role offers the chance to work with a wide range of applications, from small benchmarks running on single-CPU core to full-scale applications running on multi-node multi-GPU systems. You'll find optimization opportunities and work closely with our compiler development and application engineering teams to deliver effective solutions.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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What You'll Be Doing:
- Analyze the effect of different compilers and compiler optimizations on HPC application performance.
- Evaluate whether and how the compiler and runtime can improve the performance of key HPC applications on CPU and CPU/GPU platforms.
- Communicate limits of compiler capabilities with application engineering to guide the best path forward towards improving performance.
- Port HPC applications to different platforms and programming models.
- Evaluate the impact of NVHPC package components, device driver, and system configuration on application performance.
What We Need to See:
- BS/MS or equivalent experience in Computer Science or a related engineering field.
- 5+ years of programming experience.
- Solid understanding of Fortran, C, C++, and programming techniques, especially for parallel architectures, preferably for compilers.
- Experience with OpenACC, OpenMP, MPI, CUDA, and Standard Language Parallelism.
- Strong skills in performance analysis and tuning, as well as a broad understanding of parallel applications development tools and runtime environments.
- Strong mathematical fundamentals, including linear algebra and numerical methods.
- Understand performance considerations, tradeoffs, and impact.
- Expert interpersonal skills, a logical approach to problem-solving, good time management, and task prioritization skills. Excellent written and verbal communication skills, along with the ability to work in a dynamic development team.


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Ways to Stand Out from the Crowd:
- You have a deep understanding of machine architectures and micro-architectures.
- Experience with debugging and porting as well as assembly language programming is a significant advantage.
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.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/en/employee-benefits.
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