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Performance Engine Tuning Jobs in California (NOW HIRING)

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 ...

Data Analyst IV

San Francisco, CA · On-site

$187K - $220K/yr

Hands-on experience with Databricks, PySpark/Python, and at least one high-performance query engine. oVisualization/Governance: Expert-level development and performance tuning in BI platforms (e.g ...

Research Engineer, Core ML

San Francisco, CA · On-site

$241K/yr

... performance across GPU, networking, and memory layers to improve latency, throughput, and cost. • ... inference engine, data pipeline, and user‑facing layers. • Run ablations and scale‑up ...

... AI engine that powers productivity and process automation for all of Cisco. We are a rapidly ... performance. * Where applicable propose and evaluate results of fine-tuning open source LLMs with ...

Efficiency AI Ops Engineer Hybrid

San Jose, CA · On-site

$126K - $165K/yr

... AI engine that powers productivity and process automation for all of Cisco. We are a rapidly ... performance. * Where applicable propose and evaluate results of fine-tuning open source LLMs with ...

Prior leadership in technical architecture, performance tuning, and mentoring engineers. We work in a hybrid model, with the team together in our Sunnyvale office 2-3 days per week. We feel strongly ...

Showing results 41-60

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 Jul 27, 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 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:
Infographic showing various Performance Engine Tuning job openings in California as of July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,363 per year, or $59.3 per hour.
Software Engineering SMTS - Agentforce Reasoning Engine

Software Engineering SMTS - Agentforce Reasoning Engine

Salesforce, Inc.

San Francisco, CA • On-site

$144K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago


Salesforce rating

8.0

Company rating: 8.0 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

121st of 245 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The Experience
Salesforce is looking for an AI Software Engineer to join the team building and scaling the Agentforce Reasoning Engine - the core Python service powering multi-agent orchestration for millions of customers. You will be part of a collaborative team of Generative AI Application Engineers who are passionate about designing the reasoning backbone of Agentforce and who love to learn, teach, and grow together.
What You'll Actually Be Doing
  • Build and own end-to-end scalable backend services powering multi-agent orchestration, supporting thousands of concurrent tenants at production scale - using AI as a core part of your development workflow to push the limits of what's possible.
  • Design and orchestrate complex systems where AI agents integrate seamlessly into workflows, including stateful session management using Redis and distributed storage patterns.
  • Drive system reliability through automation, capacity planning, performance tuning, monitoring, and root cause analysis - and participate in on-call rotations to keep production healthy.
  • Contribute to building and maintaining shared system context - an explicit repository of system designs, constraints, and standards - that enables AI to operate accurately and reliably across thousands of tenants.

You're Our Person If...
  • You have 3+ years of industry experience building production AI systems and/or backend services, with strong Python skills and hands-on experience building async services using FastAPI or equivalent.
  • You have experience with distributed, scalable systems and modern data storage and messaging frameworks such as Redis, Kafka, and container orchestration tools like Docker and Kubernetes.
  • You have experience integrating with large language models (LLMs) and working with prompt engineering in production systems.
  • You bring a demonstrated, genuine AI-first approach to engineering - using AI tools (e.g., Claude Code, GitHub Copilot, Cursor) to move faster, build fluency across the stack, and contribute beyond your core specialty, including advanced prompt engineering skills to make AI outputs reliable, secure, and production-ready.
  • A related technical degree required.

Even Better If...
  • You have experience with multi-agent orchestration or agentic AI frameworks.
  • You are familiar with vector databases, embeddings, and retrieval systems, or have worked on conversational AI or voice-integrated services.
  • You have a track record of strong cross-team collaboration and clear written and verbal communication.

Unleash Your Potential
When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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