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Internship Performance Engine Tuning Jobs in California

Rockstar

Founding GTM Lead

San Francisco, CA · On-site

They are hiring their Founding Go-To-Market Lead to own the earliest GTM engine end-to-end-content ... Define pricing & packaging for model-centric customers-across fine-tuning, RL workflows, inference ...

Nastech Global

AEM Developer

Sunnyvale, CA · On-site

... engine indexing and performance. • Collaborate with UI/UX designers, product owners, and other ... tuning efforts. • Develop automated unit and integration tests. • Stay up-to-date with the ...

Rockstar

Founding GTM Lead

San Francisco, CA · On-site

They are hiring their Founding Go-To-Market Lead to own the earliest GTM engine end-to-end-content ... Define pricing & packaging for model-centric customers-across fine-tuning, RL workflows, inference ...

CYNET SYSTEMS

Lead Teradata Developer

Pleasanton, CA · On-site

$75 - $80/hr

Proficiency in performance tuning and query optimisation. * Good understanding of Unix/Linux ... recruitment engine operating across North America and Asia--ensuring speed, quality, and ...

CYNET SYSTEMS

HPC Consultant

Fremont, CA · On-site

$52 - $57/hr

Experience in system-level performance tuning across compute, storage, and network layers ... recruitment engine operating across North America and Asia--ensuring speed, quality, and ...

Keylent Inc

ElasticSearch Relevancy Eng

San Jose, CA · On-site

Proven experience with Elasticsearch engine technologies. Strong understanding of information ... Customize Elasticsearch query and indexing strategies for optimal search performance and accuracy.

Simarn Solutions, LLC

Sr. Cloud Engineer

Redwood City, CA · On-site

$68.25 - $91.25/hr

... performance tuning, debugging, metrics measurement, security, resilient design and disaster ... show engine innodb status;" and working knowledge of admin tools such as monyog. * The ability to ...

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Internship Performance Engine Tuning information

What is the difference between Internship Performance Engine Tuning vs Performance Engine Tuner?

AspectInternship Performance Engine TuningPerformance Engine Tuner
CredentialsTypically pursuing or recent graduate, basic knowledgeRelevant certifications or experience in engine tuning
Work EnvironmentTraining setting, supervised projectsProfessional workshop or automotive shop
Industry UsageEntry-level, learning phaseFull-time, specialized role in automotive industry
Search IntentLearning, entry-level opportunitiesProfessional tuning and performance optimization

Internship Performance Engine Tuning is an entry-level position focused on learning and gaining experience under supervision, while Performance Engine Tuner is a professional role requiring experience and certifications to optimize engine performance in a commercial setting.

What kind of projects or tasks can I expect to work on during an Internship in Performance Engine Tuning?

As an intern in Performance Engine Tuning, you’ll typically assist with data collection and analysis from engine tests, help calibrate engine control parameters, and support the team in optimizing engine performance for power, efficiency, or emissions targets. You may also contribute to diagnostic troubleshooting and participate in simulation or dynamometer testing. Collaboration with senior engineers and cross-functional teams is common, offering valuable exposure to both technical and team-based problem-solving.

What are Internship Performance Engine Tuning positions?

Internship Performance Engine Tuning positions are internship roles focused on optimizing and improving engine performance, typically within automotive or motorsports industries. These internships give students or recent graduates hands-on experience with engine calibration, diagnostics, data analysis, and testing. Interns work with experienced engineers to fine-tune engine parameters for increased power, efficiency, and reliability. It's a great way to gain technical skills and industry knowledge, especially for those interested in automotive engineering or high-performance vehicles.

What are the key skills and qualifications needed to thrive as an Internship Performance Engine Tuning specialist, and why are they important?

To excel in an Internship Performance Engine Tuning role, a solid understanding of automotive engineering principles, engine mechanics, and coursework in mechanical or automotive engineering are essential. Familiarity with engine management software, diagnostic tools, and data logging systems—plus basic programming or calibration tool proficiency—is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate with teams and troubleshoot complex issues. These abilities are critical for optimizing engine performance while ensuring reliability, safety, and regulatory compliance in real-world automotive applications.
What cities in California are hiring for Internship Performance Engine Tuning jobs? Cities in California with the most Internship Performance Engine Tuning job openings:
Internship Performance Engine Tuning jobs near you
Senior Deep Learning Software Engineer, LLM Performance

Senior Deep Learning Software Engineer, LLM Performance

Nvidia Corporation

Santa Clara, CA • On-site

$164K/yr

Full-time

Posted 9 days ago

Job description

We are now looking for a Senior Deep Learning Software Engineer, LLM Performance! NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of LLM inference! NVIDIA is rapidly growing our research and development for Deep Learning Inference and is seeking excellent Software Engineers at all levels of expertise to join our team. Companies around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in areas like LLM, Generative AI, Recommenders and Vision that have put DL into every software solution. Join the team that builds the software to enable the performance optimization, deployment and serving of these DL solutions. We specialize in developing GPU-accelerated Deep learning software like TensorRT, DL benchmarking software and performant solutions to deploy and serve these models.
Collaborate with the deep learning community to implement the latest algorithms for public release in TensorRT LLM, VLLM, SGLang and LLM benchmarks. Identify performance opportunities and optimize SoTA LLM models across the spectrum of NVIDIA accelerators, from datacenter GPUs to edge SoCs. Implement LLM inference, serving and deployment algorithms and optimizations using TensorRT LLM, VLLM, SGLang, Triton and CUDA kernels. Work and collaborate with a diverse set of teams involving performance modeling, performance analysis, kernel development and inference software development.
What you'll be doing:
  • Performance optimization, analysis, and tuning of LLM, VLM and GenAI models for DL inference, serving and deployment in NVIDIA/OSS LLM frameworks.
  • Scale performance of LLM models across different architectures and types of NVIDIA accelerators.
  • Scale performance for max throughput, minimum latency and throughput under latency constraints.
  • Contribute features and code to NVIDIA/OSS LLM frameworks, inference benchmarking frameworks, TensorRT, and Triton.
  • Work with cross-collaborative teams across generative AI, automotive, image understanding, and speech understanding to develop innovative solutions.

What we need to see:
  • Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Engineering, Computer Science, EECS, AI).
  • At least 8 years of relevant software development experience.
  • Excellent Python/C/C++ programming, software design and software engineering skills
  • Experience with a DL framework like PyTorch, JAX, TensorFlow.

Ways to stand out from the crowd:
  • Prior experience with a LLM framework or a DL compiler in inference, deployment, algorithms, or implementation
  • Prior experience with performance modeling, profiling, debug, and code optimization of a DL/HPC/high-performance application
  • Architectural knowledge of CPU and GPU
  • GPU programming experience (CUDA or OpenCL)

GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems posed using human language. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as "the AI computing company." Come, join our DL Architecture team, where you can help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 20, 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.
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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