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Senior Engine Performance Engineer Jobs in California

Qualcomm

Windows Performance Engineer, Staff

San Diego, CA · On-site

$148K/yr

As a Windows Performance Developer, you'll be owning and driving analysis of complex system level ... senior technical members from broad set of teams across Qualcomm and external partners. Should be ...

Nvidia

AI Inference Performance Engineer

Santa Clara, CA · Hybrid

$164K/yr

This team sits at the intersection of GPU performance engineering and public accountability. What ... The GPU started out as the engine for simulating human imagination, conjuring up the outstanding ...

Nvidia

Senior Systems Performance Engineer

Santa Clara, CA · On-site

$122K - $167K/yr

We are now looking for a Senior Validation Engineer in the DGX Server Product Engineering Team. In ... System architecture, design, performance modelling, estimation across new models and new packages.

Amazon

Sr Performance Validation Engineer

Sunnyvale, CA · On-site

As the Senior Pre-Silicon Performance Validation Engineer, you will be responsible for validating and verifying the performance of complex silicon designs during the pre-silicon phase, ensuring that ...

Qualcomm

System Performance Engineer

San Diego, CA · On-site

... senior leadership (Sr. Director, Vice President level and above) • Strong programming and ... power/performance analysis tools and techniques • Computer hardware and architecture ...

Broadcom

AI Systems Performance Engineer

San Jose, CA · Remote

$141K - $226K/yr

We are seeking a highly talented and experienced Senior AI Fabric Performance Engineer to take on a critical role within our Performance Lab. In this high-impact position, you will drive the ...

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Senior Engine Performance Engineer information

What does a Senior Engine Performance Engineer do?

A Senior Engine Performance Engineer is responsible for analyzing, developing, and optimizing engine systems to ensure they meet performance, efficiency, and emissions standards. They work on testing and calibrating engines, interpreting data, and making recommendations for design improvements. These engineers often lead teams, collaborate with other departments, and use advanced tools and simulation software to achieve project goals. Their expertise is crucial in the automotive, aerospace, and manufacturing industries where engine performance is critical.

What is the difference between Senior Engine Performance Engineer vs Engine Calibration Engineer?

AspectSenior Engine Performance EngineerEngine Calibration Engineer
Required CredentialsBachelor's/Master's in Mechanical or Automotive Engineering, certifications like SAE or OEM-specific trainingBachelor's in Mechanical or Automotive Engineering, calibration-specific certifications often preferred
Work EnvironmentDesign labs, testing facilities, vehicle development teamsEngine control units (ECU) calibration, testing labs, vehicle integration
Employer & Industry UsageAutomotive OEMs, Tier 1 suppliers, motorsport teamsAutomotive OEMs, ECU calibration firms, aftermarket tuning companies

The Senior Engine Performance Engineer focuses on optimizing engine performance through testing and analysis, while the Engine Calibration Engineer specializes in ECU tuning and calibration to meet performance and emissions standards. Both roles require similar technical backgrounds but differ in their specific focus areas within engine development.

What are the key skills and qualifications needed to thrive as a Senior Engine Performance Engineer, and why are they important?

To thrive as a Senior Engine Performance Engineer, you need a deep understanding of thermodynamics, combustion, and engine calibration, typically supported by a degree in mechanical or automotive engineering. Proficiency with simulation software (like GT-Power), data acquisition systems, and engine management tools is essential, along with knowledge of industry standards such as ISO or SAE. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and presenting technical findings. These skills and qualifications are vital for optimizing engine performance, meeting regulatory requirements, and driving innovation in competitive automotive environments.

What are some of the main challenges a Senior Engine Performance Engineer faces when working on new engine designs?

One of the main challenges in this role is balancing competing requirements such as power output, fuel efficiency, emissions compliance, and durability. Senior Engine Performance Engineers often need to collaborate closely with calibration, validation, and design teams to optimize engine parameters while adhering to project timelines and regulatory standards. Additionally, keeping up with rapidly evolving technologies and integrating new components or control strategies can add complexity to the development process. Strong problem-solving skills and effective cross-functional communication are critical to successfully navigating these challenges.
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Senior Engine Performance Engineer jobs near you
Senior Performance Engineer - Deep Learning

Senior Performance Engineer - Deep Learning

Nvidia

Santa Clara, CA

$122K - $168K/yr

Full-time

Re-posted 8 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

Our Deep Learning models performance engineering team at NVIDIA is hiring software engineers at all experience levels to build and optimize the libraries and tools that enable Deep Learning Researchers and Engineers to design, develop, and deploy efficient AI applications. We are an ambitious and diverse team that builds optimizations directly into mainstream open source Deep Learning frameworks - PyTorch and JAX, which boost the performance at all levels of NVIDIA's AI stack. Our team has a wide collaborative footprint, working not only with multiple teams across NVIDIA but also with the broader open-source community to deliver SOTA Deep Learning performance on the best AI platform in the world!

What you will be doing:

  • Build and support Transformer Engine, the open-source library for accelerating the training of Large Language Models.

  • Collaborate on systems research that improves Deep Learning model performance, such as training using extremely low precision, parallelism methods, etc.

  • Implement, benchmark, and optimize new Deep Learning models such as LLMs straight out of groundbreaking research to scale efficiently on NVIDIA GPUs and systems.

  • Build and contribute to NVIDIA submissions on community benchmarks such as MLPerf.

  • Engage with the open-source community as well as support enterprise customers and partners by delivering the benefits of NVIDIA's latest hardware and software innovations.

  • Influence the design of new hardware generations and core platform software components for NVIDIA hardware and systems.

What we need to see:

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

  • 3+ years of experience in C++ and Python programming.

  • Strong background, experience, or coursework in parallel systems programming, preferably on GPUs.

  • Knowledge of Computer Architecture, Code Optimization, and/or Operating Systems.

  • Proven experience in developing large software projects.

  • Excellent verbal and written communication skills.

Ways to stand out from the crowd:

  • Experience in PyTorch, JAX, or any other DL framework.

  • Experience with performance analysis, profiling, and code optimization techniques, especially with multi-GPU or multi-node systems.

  • Knowledge of modern LLM architectures, attention mechanisms, and/or low-level DL libraries such as cuBLAS, cuDNN, and cuSOLVER.

  • Experience in writing GPU kernels using any of - CUDA, OpenAI Triton, CuTeDSL, Pallas, or other similar libraries.

  • Any past contributions to the open source community and/or experience working with multidisciplinary teams also showcase readiness for the team's responsibilities.

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 March 8, 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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

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

Year founded

1993

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