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Performance Engine Tuning Jobs in California (NOW HIRING)

Familiarity with storage engine internals, indexing/data layout, performance tuning, and profiling tools. * Contributions to open-source projects (especially Rust), or experience writing diagnostic ...

ML Engineer II

Aliso Viejo, CA · On-site

$52 - $57/hr

Docker, CI/CD, pytest, secure secrets, monitoring, performance tuning. Qualification And Education ... recruitment engine operating across North America and Asia--ensuring speed, quality, and ...

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Performance Engine Tuning information

See California salary details

$108.1K

$123.4K

$137.2K

How much do performance engine tuning jobs pay per year?

As of Jun 21, 2026, the average yearly pay for performance engine tuning in California is $123,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What does a typical day look like for someone working in Performance Engine Tuning?

A typical day for a Performance Engine Tuning specialist involves assessing customer vehicles, performing engine diagnostics, calibrating ECU settings, and utilizing dynamometer testing equipment to validate performance improvements. You may collaborate closely with other technicians, service advisors, and occasionally directly with clients to discuss performance goals and modifications. The role requires a blend of hands-on adjustments and computer-based tuning, with an emphasis on both technical expertise and precision. Over time, you may also be involved in researching new tuning techniques and staying updated with advancements in automotive technology to ensure optimal results for a wide range of vehicles.

What is a Performance Engine Tuning job?

A Performance Engine Tuning job involves optimizing an engine's performance by adjusting parameters such as fuel injection, ignition timing, and air-to-fuel ratio. Tuners use specialized software and tools to modify the engine control unit (ECU) for better horsepower, torque, and efficiency. This role requires knowledge of engine mechanics, diagnostics, and aftermarket modifications. Tuners work with various vehicles, from daily drivers to high-performance race cars, ensuring they run efficiently and safely.

What are the key skills and qualifications needed to thrive in the Performance Engine Tuning position, and why are they important?

To thrive in Performance Engine Tuning, you need a solid background in automotive mechanics, internal combustion engine theory, and hands-on experience with diagnostic and tuning procedures. Familiarity with engine management systems, ECU programming tools, and performance software (such as Dynojet or HP Tuners) is typically required, along with relevant technical certifications. Strong analytical thinking, attention to detail, and effective communication are valuable soft skills in this field. These competencies are crucial for accurately optimizing engine performance, troubleshooting issues, and conveying technical information to clients or team members.

What are the most commonly searched types of Performance Engine Tuning jobs in California? The most popular types of Performance Engine Tuning jobs in California are:
What are popular job titles related to Performance Engine Tuning jobs in California? For Performance Engine Tuning jobs in California, the most frequently searched job titles are:
What job categories do people searching Performance Engine Tuning jobs in California look for? The top searched job categories for Performance Engine Tuning jobs in California are:

Senior Software Engineer - Agentic AI Analytics (Rust / Data Systems)

Noor Staffing Group

Los Angeles, CA • Hybrid

$132K - $174K/yr

Other

Posted 6 days ago


Job description

Title: Senior Software Engineer – Agentic AI Analytics (Rust / Data Systems)
Location: Glendale, CA – structured hybrid (in-office component required)
Compensation: 200,000 – 240,000 base + equity/benefits (DOE)

***NO C2C OR VISA CANDIDATES CAN BE ACCCEPTED***

Our client is building the next generation of AI-powered analytics so brands can finally see, in real time, which advertising actually works and why. This Senior Software Engineer role sits directly with the CTO on a highly visible initiative to build an agentic, AI-driven analytics engine from the ground up using Rust, Java, and modern OLAP concepts.

If you like owning hard performance problems, designing columnar/vectorized systems, and shipping code that powers decisions for the world’s biggest brands, this is a true impact seat, not a maintenance job.

Why this role

  • Direct access to the CTO and a small, senior team driving our core AI analytics strategy, not a side project.
  • Greenfield build of an Advanced Analytics Engine with vectorized query processing, columnar storage, and OLAP capabilities aimed at sub-second performance on marketing datasets.
  • Heavy Rust and Java engineering with deep performance tuning, profiling, and hardware-aware optimization on large-scale cloud-native data systems.
  • High-growth, ad measurement / analytics space with massive data volume, where your work shapes how brands, agencies, and media companies measure outcomes.
  • Structured hybrid in Glendale, CA with strong comp, equity, and full benefits, plus a culture that emphasizes performance, learning, and fun.

Ideal candidate snapshot

  • 12+ years total software engineering, including 5+ years architecting or building high-performance data/analytics or OLAP systems; 3+ years hands-on, production Rust, ideally having come from Java.
  • Deep knowledge of columnar data engines, vectorized execution, query/dataframe optimization, and performance engineering at the system and hardware levels.
  • Strong AWS experience (designing, deploying, and optimizing scalable data and compute systems in the cloud).
  • Systems thinker who sees software, data, and infrastructure as one cohesive system; comfortable in fast-moving, startup-like environments.
  • Solid statistics / data analysis foundation; bonus for exposure to AI-driven analytics and engines like Apache DataFusion, DuckDB, ClickHouse/chDB, or for refactoring large brownfield systems.