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Diagnostics Engineer Jobs in California (NOW HIRING)

NextHop AI

Diagnostics Engineer

Santa Clara, CA · On-site

Platform/Diagnostics Engineer Company Description: As an AI infrastructure startup, we are developing innovative systems to enable large-scale AI deployments. Our team comprises industry veterans who ...

NextHop AI

Diagnostics Engineer

Santa Clara, CA · On-site

Platform/Diagnostics Engineer Company Description: As an AI infrastructure startup, we are developing innovative systems to enable large-scale AI deployments. Our team comprises industry veterans who ...

Teradyne

Senior Calibration Engineer

San Jose, CA · On-site

$161K - $284K/yr

... engineering team. This role offers the opportunity to work with cutting-edge Automated Test ... Design and implementation of calibration and diagnostic software architectures. * Develop advanced ...

Teradyne

Senior Calibration Engineer

Agoura Hills, CA · On-site

$161K - $284K/yr

... engineering team. This role offers the opportunity to work with cutting-edge Automated Test ... Design and implementation of calibration and diagnostic software architectures. * Develop advanced ...

Teradyne

Senior Calibration Engineer

San Jose, CA · On-site

$161.70 - $284.70/hr

Design and implementation of calibration and diagnostic software architectures. * Develop advanced ... Mentor engineers and provide technical leadership on critical projects. * Drive software quality ...

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All JobsDiagnostics Engineer JobsDiagnostics Engineer Jobs in California

Diagnostics Engineer information

See California salary details

$38.5K

$100.4K

$135.7K

How much do diagnostics engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for diagnostics engineer in California is $100,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $115,000.00 per year, depending on experience, location, and employer.

What is a diagnostics engineer?

A Diagnostics Engineer is responsible for developing, testing, and maintaining diagnostic systems used to identify faults in mechanical, electrical, or software-based systems. They work in industries such as automotive, aerospace, and medical devices to ensure accurate troubleshooting and performance analysis. Their role involves creating test procedures, analyzing system data, and collaborating with design and development teams to improve product reliability.

What does a diagnostics engineer do?

As a Diagnostics Engineer, your daily tasks will often involve analyzing system data, identifying and troubleshooting faults, and developing diagnostic procedures for vehicles or industrial equipment. You may collaborate with design, software, and testing teams to refine diagnostic algorithms and support product validation efforts. Regular activities can also include documenting test results, updating diagnostic software, and providing technical support or training to other engineers and technicians. This role requires both independent problem-solving and frequent teamwork to ensure products meet performance and reliability standards.

What skills and qualifications are needed to be a diagnostics engineer?

To excel as a Diagnostics Engineer, you need a solid background in engineering fundamentals, analytical problem-solving, and a relevant degree such as electrical, mechanical, or software engineering. Familiarity with diagnostic software, data analysis tools, and standards like OBD-II or CAN protocols is often required, and certifications in areas such as Six Sigma or specific OEM systems are highly valued. Strong communication, collaboration, and critical thinking skills help you work effectively in cross-functional teams and convey complex technical information clearly. These skills are essential for accurately pinpointing faults, developing robust diagnostic solutions, and streamlining system performance in real-world settings.

What are popular job titles related to Diagnostics Engineer jobs in California?

For Diagnostics Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Diagnostics Engineer jobs in California look for?

The top searched job categories for Diagnostics Engineer jobs in California are:

Diagnostics Engineer jobs near you
Infographic showing various Diagnostics Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $100,420 per year, or $48.3 per hour.

Diagnostics Engineer

NextHop AI

Santa Clara, CA • On-site

Full-time

Re-posted 18 days ago

Job description

Job Description: Platform/Diagnostics Engineer
Company Description: As an AI infrastructure startup, we are developing innovative
systems to enable large-scale AI deployments. Our team comprises industry veterans who are passionate about building the sophisticated systems that support the next generation of computing in a fast-paced startup environment.
Job Responsibilities:
  • Write platform driver code both in kernel and user space. Write diagnostics code to test and verify hardware is working as designed.
  • Participate in and lead design reviews with peers to decide on the best solutions for platform/diagnostic architecture.
  • Collaborate with hardware engineers to come up with custom tests to stress hardware design.
  • Participate in all parts of system enablement ranging from system bring up to be ready to be deployed in AI datacenters.
  • Support diagnostic tests for the systems in Manufacturing/EMI/Safety/MDVT/Packaging.
  • Be a part of shaping a startup - define company culture, challenge and change the ways things are done, and contribute to determining the future of the company

Qualifications: Strong problem-solving skills, quick learning and excitement for a collaborative startup environment are the most important things we're looking for. When you arrive, we make sure to give you projects that you are both excited for and that align with your experience and expertise. The list below are some of the qualifications that will help but aren't essential to thriving here.
  • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering or a related field
  • Proficiency in the following languages: Python, C
  • Solid understanding of systems software, including embedded systems and distributed systems
  • Ability to read schematics/component datasheets
  • Familiarity with container technologies (e.g., Docker) and L2 networking protocols is a plus.
  • Good communication skills and ability to work collaboratively in a team
  • Confidence to both ask questions and take ownership of your project(s)

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