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Auto Tuning Jobs (NOW HIRING)

Neon Aerospace

Senior Motor Control Engineer

Irvine, CA

$179K - $185K/yr

Develop or integrate FOC auto-tuning strategies * Support calibration workflows for performance, robustness, and protection * Analyze lab data to refine control performance and stability margins ...

Neon Aerospace

Senior Motor Control Engineer

Irvine, CA · On-site

$179K - $185K/yr

Develop or integrate FOC auto-tuning strategies * Support calibration workflows for performance, robustness, and protection * Analyze lab data to refine control performance and stability margins ...

LMK Recruiting Solutions

Motor Control

Irvine, CA

$150K - $250K/yr

Develop or integrate FOC auto-tuning strategies * Analyze lab data to refine control performance and stability margins * Development, Integration & Test * Support auto-code generation from control ...

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Auto Mechanic

Hackensack, NJ · On-site

$25/hr

An Auto Mechanic specializes in diagnosing, repairing, and maintaining vehicles to ensure their ... tuning using both manual and computerized tools. The position offers opportunities for advancement ...

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Auto Mechanic

Hackensack, NJ · On-site

$25/hr

An Auto Mechanic specializes in diagnosing, repairing, and maintaining vehicles to ensure their ... tuning using both manual and computerized tools. The position offers opportunities for advancement ...

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Auto Tuning information

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$9

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How much do auto tuning jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for auto tuning in the United States is $38.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $50.72 per hour, depending on experience, location, and employer.

How much money do car tuners make?

Car tuners, or auto tuning specialists, typically earn between $30,000 and $70,000 annually, depending on experience, location, and whether they work independently or for a shop. Skilled tuners with certifications and a strong client base can earn higher incomes, especially through custom projects and performance upgrades.

Is car tuning a career?

Auto tuning is a specialized career involving modifying and optimizing vehicles for performance, appearance, or efficiency. It requires technical skills, knowledge of automotive systems, and often certifications or training; professionals may work in repair shops, custom shops, or independently. Success in this field depends on experience, reputation, and staying current with automotive technology and tools.

What are the key skills and qualifications needed to thrive as an Auto Tuning Specialist, and why are they important?

To thrive as an Auto Tuning Specialist, you need a solid understanding of automotive mechanics, engine performance, and vehicle electronics, often supported by formal training in automotive technology. Familiarity with tuning software (such as ECU remapping tools), diagnostic scanners, and sometimes certifications from automotive manufacturers are typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you deliver precise tuning solutions and explain results to clients. These skills are crucial for optimizing vehicle performance, ensuring safety, and building customer trust in a competitive automotive industry.

What is auto tuning in the context of automotive jobs?

Auto tuning refers to the process of modifying and optimizing a vehicle's engine and related systems to improve performance, efficiency, or both. This can involve adjusting the engine control unit (ECU) software, upgrading exhaust systems, or changing air intake systems to achieve better horsepower, torque, or fuel economy. Auto tuning professionals use specialized tools to analyze vehicle parameters and make precise adjustments. The goal is to tailor the vehicle's performance to the owner's preferences or specific driving conditions.

What is the difference between Auto Tuning vs Auto Mechanics?

AspectAuto TuningAuto Mechanics
CredentialsTypically no formal certification required, but specialized training or certifications in ECU tuning may be preferredHigh school diploma or equivalent; ASE certification often required
Work EnvironmentPrimarily in automotive workshops, tuning labs, or garages focusing on software adjustmentsWorkshops, repair shops, or service centers performing repairs and maintenance
Industry UsageUsed in automotive performance enhancement, ECU remapping, and software optimizationUsed in vehicle repair, diagnostics, and mechanical maintenance

Auto Tuning focuses on optimizing vehicle performance through software adjustments, often requiring specialized knowledge of vehicle electronics. Auto Mechanics perform physical repairs and maintenance on vehicles. While both roles work within the automotive industry, Auto Tuning emphasizes software and electronic modifications, whereas Auto Mechanics focus on mechanical repairs.

What jobs pay $500,000 a year in the US?

In the field of auto tuning, highly experienced professionals such as top-tier automotive engineers, performance tuners, or specialists working with high-performance or luxury vehicles can potentially earn $500,000 or more annually, especially if they own their own business or work in consulting roles. Achieving this level typically requires advanced skills, certifications, a strong reputation, and often a combination of technical expertise and business acumen.

How does an Auto Tuning specialist typically collaborate with other automotive professionals in a workshop setting?

An Auto Tuning specialist frequently works alongside mechanics, diagnostic technicians, and sometimes customer service advisors to deliver optimal vehicle performance. Collaboration is key, as tuning often requires input from mechanics regarding the vehicle's current condition and coordination with diagnostic experts to address any underlying issues before performance adjustments are made. Effective communication ensures that tuning modifications are safe, comply with regulations, and align with the client's goals. This teamwork environment enhances learning and often provides opportunities for career advancement within the automotive field.

What is the highest paid auto technician?

The highest paid auto technicians are often those specializing in high-performance or luxury vehicles, with master technicians and those with advanced certifications earning salaries exceeding $70,000 annually. Experience, location, and expertise in areas like engine tuning, diagnostics, or working with advanced tools can significantly impact earnings.
More about Auto Tuning jobs
What cities are hiring for Auto Tuning jobs? Cities with the most Auto Tuning job openings:
What states have the most Auto Tuning jobs? States with the most job openings for Auto Tuning jobs include:
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Auto Tuning jobs near you
Infographic showing various Auto Tuning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $79,382 per year, or $38.2 per hour.

Staff Software Engineer - GenAI Performance and Kernel

Databricks

San Francisco, CA • On-site

$164K/yr

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Databricks is the data and AI company, and they are seeking a Staff Software Engineer for GenAI Performance and Kernel. In this role, you will own the design and optimization of high-performance GPU kernels for GenAI inference, leading development and mentoring others in performance engineering.
Responsibilities:
• Lead the design, implementation, benchmarking, and maintenance of core compute kernels (e.g. attention, MLP, softmax, layernorm, memory management) optimized for various hardware backends (GPU, accelerators)
• Drive the performance roadmap for kernel-level improvements: vectorization, tensorization, tiling, fusion, mixed precision, sparsity, quantization, memory reuse, scheduling, auto-tuning, etc.
• Integrate kernel optimizations with higher-level ML systems
• Build and maintain profiling, instrumentation, and verification tooling to detect correctness, performance regressions, numerical issues, and hardware utilization gaps
• Lead performance investigations and root-cause analysis on inference bottlenecks, e.g. memory bandwidth, cache contention, kernel launch overhead, tensor fragmentation
• Establish coding patterns, abstractions, and frameworks to modularize kernels for reuse, cross-backend portability, and maintainability
• Influence system architecture decisions to make kernel improvements more effective (e.g. memory layout, dataflow scheduling, kernel fusion boundaries)
• Mentor and guide other engineers working on lower-level performance, provide code reviews, help set best practices
• Collaborate with infrastructure, tooling, and ML teams to roll out kernel-level optimizations into production, and monitor their impact
Qualifications:
Required:
• BS/MS/PhD in Computer Science, or a related field
• Deep hands-on experience writing and tuning compute kernels (CUDA, Triton, OpenCL, LLVM IR, assembly or similar sort) for ML workloads
• Strong knowledge of GPU/accelerator architecture: warp structure, memory hierarchy (global, shared, register, L1/L2 caches), tensor cores, scheduling, SM occupancy, etc.
• Experience with advanced optimization techniques: tiling, blocking, software pipelining, vectorization, fusion, loop transformations, auto-tuning
• Familiarity with ML-specific kernel libraries (cuBLAS, cuDNN, CUTLASS, oneDNN, etc.) or open kernels
• Strong debugging and profiling skills (Nsight, NVProf, perf, vtune, custom instrumentation)
• Experience reasoning about numerical stability, mixed precision, quantization, and error propagation
• Experience in integrating optimized kernels into real-world ML inference systems; exposure to distributed inference pipelines, memory management, and runtime systems
• Experience building high-performance products leveraging GPU acceleration
• Excellent communication and leadership skills — able to drive design discussions, mentor colleagues, and make trade-offs visible
• A track record of shipping performance-critical, high-quality production software
Preferred:
• Bonus: published in systems/ML performance venues (e.g. MLSys, ASPLOS, ISCA, PPoPP), experience with custom accelerators or FPGA, experience with sparsity or model compression techniques
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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