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Automotive R&D Engineer Jobs in California (NOW HIRING)

FPGA Design Engineer

Los Angeles, CA ยท Hybrid

$132K - $182K/yr

FPGA Design Engineers are responsible for the efficient implementation of novel signal processing ... R&D. These are exciting projects targeted to address challenging real-world communication needs.

HPC Hardware Engineer

Milpitas, CA ยท On-site

$95K - $161K/yr

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets ...

HPC Hardware Engineer

Milpitas, CA ยท On-site

$95K - $161K/yr

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets ...

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets ...

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets ...

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets ...

HPC Product Development Engineer

Milpitas, CA ยท On-site

$95K - $161K/yr

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets ...

HPC Product Development Engineer

Milpitas, CA ยท On-site

$95K - $161K/yr

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets ...

Sr. AI Software Engineer (GPU/C++)

Milpitas, CA ยท On-site

$139K - $184K/yr

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem, focusing on innovation and R&D. They are seeking a Sr. AI Software Engineer with a focus on C++ and ...

Mass Spectrometry Scientist

San Francisco, CA ยท On-site

$100K - $130K/yr

... software engineers, and business experts, Genedata has become the market-leading provider of enterprise software solutions for biopharma R&D. Each employee is encouraged to contribute to the ...

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Showing results 1-20

Automotive R D Engineer information

See California salary details

$34.5K

$78.8K

$114K

How much do automotive r&d engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for automotive r&d engineer in California is $78,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $105,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Automotive R&D Engineer position, and why are they important?

To thrive as an Automotive R&D Engineer, you need a strong background in mechanical or electrical engineering, problem-solving abilities, and experience in automotive systems, usually supported by a relevant engineering degree. Familiarity with CAD software, simulation tools, and industry standards such as ISO/TS16949, as well as knowledge of prototyping methods, is typically required. Strong teamwork, effective communication, and creative thinking are highly valued soft skills in this role. These competencies are crucial for developing innovative automotive solutions, collaborating across multidisciplinary teams, and staying competitive in a rapidly advancing industry.

What is an Automotive R&D Engineer job?

An Automotive R&D Engineer is responsible for researching, designing, and developing new automotive technologies, components, and systems. They work to improve vehicle performance, safety, fuel efficiency, and sustainability through innovation and testing. Their role often involves collaborating with cross-functional teams, using computer-aided design (CAD) tools, and conducting experiments to validate new designs. They stay updated on industry trends, regulations, and advancements to ensure competitive and compliant automotive solutions.

What kinds of projects and daily responsibilities can I expect as an Automotive R&D Engineer?

As an Automotive R&D Engineer, your daily responsibilities can vary from designing and testing new automotive components to analyzing data from prototypes and collaborating with manufacturing teams. Typical projects may involve improving vehicle safety, fuel efficiency, or developing next-generation technologies such as electric drivetrains or advanced driver-assistance systems. You will likely work as part of a multidisciplinary team, interacting with designers, software engineers, and quality assurance professionals. This dynamic environment requires adaptability and a willingness to learn as technologies and project priorities evolve. Being proactive and detail-oriented will help you succeed in the fast-paced world of automotive research and development.

Infographic showing various Automotive R&D Engineer job openings in California as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $78,767 per year, or $37.9 per hour.
Machine Learning Engineer (Remote)

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA โ€ข On-site, Remote

$55 - $73/hr

Full-time

Re-posted 14 days ago


Job description

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.
Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)
Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

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