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Remote Automotive High Performance Jobs in California

GIA Legacy Planning

Remote Position/ Work from Home Job Type: Full-Time/Part-Time Compensation: 100% Uncapped ... If you're motivated, adaptable, and ready to thrive in a high-performance environment, we'd love to ...

GIA Legacy Planning

Remote Position/ Work from Home Job Type: Full-Time/Part-Time Compensation: 100% Uncapped ... If you're motivated, adaptable, and ready to thrive in a high-performance environment, we'd love to ...

Team Velocity

$65K - $80K/yr

The Ideal Candidate has automotive digital marketing, automotive agency, and/or automotive retail ... This is a full-time, remote, salaried position. Candidates must reside in the Continental, U.S ...

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Remote Automotive High Performance information

What is a remote automotive high performance job?

Remote Automotive High Performance jobs involve working on improving vehicle performance, such as engine tuning, suspension upgrades, and aerodynamics, from a remote location. These roles may include positions like performance engineers, tuning specialists, or software developers who work with automotive data and simulation tools. Professionals in these jobs often use specialized software to analyze and enhance vehicle systems, collaborate with teams online, and sometimes provide remote support or consultation to customers or racing teams. The remote aspect allows them to conduct much of their work off-site, using digital communication and diagnostic tools.

What are the key skills and qualifications needed to thrive as a remote automotive high performance engineer?

To thrive as a Remote Automotive High Performance Engineer, you need expertise in automotive engineering principles, vehicle dynamics, and data analysis, often backed by a relevant engineering degree. Familiarity with CAD software, vehicle simulation tools, and diagnostic systems like CAN bus analyzers is typically required. Strong problem-solving abilities, teamwork, and effective communication skills help you collaborate and troubleshoot issues remotely. These skills ensure the efficient optimization and innovation of high-performance vehicles, even when working off-site.

What are some typical challenges faced by professionals in remote automotive high performance roles, and how can they be overcome?

Professionals in remote automotive high performance roles often encounter challenges such as coordinating effectively with on-site teams, accessing specialized equipment, and ensuring real-time data accuracy. Overcoming these obstacles typically involves leveraging advanced diagnostics software, maintaining clear communication channels, and scheduling regular virtual meetings with team members. Additionally, staying up-to-date with the latest remote tuning tools and industry best practices helps ensure high-quality work despite the distance from physical vehicles or test facilities.

What is the difference between Remote Automotive High Performance vs Remote Automotive Technician?

AspectRemote Automotive High PerformanceRemote Automotive Technician
CertificationsASE certifications, specialized high-performance vehicle trainingASE certifications, general automotive repair certifications
Work EnvironmentPrimarily remote with occasional on-site high-performance vehicle testingPrimarily remote diagnostics with on-site repairs
Industry UsageHigh-performance car tuning, racing, custom buildsRoutine vehicle maintenance, repairs, diagnostics

Remote Automotive High Performance specialists focus on tuning and customizing high-performance vehicles, often working remotely with occasional on-site testing. In contrast, Remote Automotive Technicians handle general vehicle repairs and diagnostics, usually working remotely with on-site repairs. Both roles require automotive certifications, but the high-performance role demands specialized training in high-performance systems.

What are the most commonly searched types of Automotive High Performance jobs in California?

The most popular types of Automotive High Performance jobs in California are:

What are popular job titles related to Remote Automotive High Performance jobs in California?

For Remote Automotive High Performance jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Automotive High Performance jobs in California look for?

The top searched job categories for Remote Automotive High Performance jobs in California are:

What cities in California are hiring for Remote Automotive High Performance jobs?

Cities in California with the most Remote Automotive High Performance job openings:

Remote Automotive High Performance jobs near you

Member of Technical Staff - GPU Performance Engineer

Liquid AI, Inc

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Key responsibilities

  • Write high-performance GPU kernels for novel model architectures and integrate them into PyTorch pipelines.

  • Profile and optimize training and inference workflows to eliminate bottlenecks and improve performance.

  • Collaborate with researchers to turn promising ideas into shipped, maintainable speedups.

Job description

About Liquid AI
Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.
The Opportunity
Our models and workflows require performance work that generic frameworks don't solve. You'll design and ship custom CUDA kernels, profile at the hardware level, and integrate research ideas into production code that delivers measurable speedups in real pipelines (training, post-training, and inference). Our team is small, fast-moving, and high-ownership. We're looking for someone who finds joy in memory hierarchies, tensor cores, and profiler output.
While San Francisco and Boston are preferred, we are open to other locations.
What We're Looking For
We need someone who:
  • Works profiler-first: You use tools like Nsight Systems / Nsight Compute to find bottlenecks, validate hypotheses, and iterate until improvements show up in end-to-end benchmarks.
  • Bridges theory and practice: You can translate ideas from papers into implementations that are robust, testable, and performant.
  • Executes independently: Given an ambiguous bottleneck, you can drive from profiling to kernel/integration changes to benchmarked results to maintained ownership.
  • Cares about the details: Memory hierarchy, occupancy, launch configs, tensor core utilization, bandwidth vs compute limits.

The Work
  • Write high-performance GPU kernels for our novel model architectures
  • Integrate kernels into PyTorch pipelines (custom ops, extensions, dispatch, benchmarking)
  • Profile and optimize training and inference workflows to eliminate bottlenecks
  • Build correctness tests and numerics checks
  • Build/maintain performance benchmarks and guardrails to prevent regressions
  • Collaborate closely with researchers to turn promising ideas into shipped speedups

Desired Experience
Must-have:
  • Authored custom CUDA kernels (not only calling cuDNN/cuBLAS)
  • Strong understanding of GPU architecture and performance: memory hierarchy, warps, shared memory/register pressure, bandwidth vs compute limits
  • Proficiency with low-level profiling (Nsight Systems/Compute) and performance methodology
  • Strong C/C++ skills

Nice-to-have:
  • CUTLASS experience and tensor core utilization strategies
  • Triton kernel experience and/or PyTorch custom op integration
  • Experience building benchmark harnesses and perf regression tests

What Success Looks Like (Year One)
  • Measurable improvement on at least one critical end-to-end pipeline (throughput and/or latency), validated by repeatable benchmarks
  • At least one research-driven technique shipped as a production kernel and maintained over time
  • Performance regressions are detectable early via benchmarks/guardrails, not discovered late

What We Offer
  • Unique challenges: Our architectural innovations and efficiency requirements offer unique optimization challenges. High ownership from day one.
  • Compensation: Competitive base salary with equity in a unicorn-stage company
  • Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
  • Financial: 401(k) matching up to 4% of base pay
  • Time Off: Unlimited PTO plus company-wide Refill Days throughout the year

Apply