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Measurement Engineer Jobs in California (NOW HIRING)

Apple

Senior Software Engineer, SDLC Analytics

Cupertino, CA

$150K - $225K/yr

  • Medical

  • Dental

  • Retirement

Are you passionate about applying software engineering rigor to the measurement and optimization of the development lifecycle itself? As part of our Software Development Life Cycle (SDLC) team, you ...

Apple

Senior Software Engineer, SDLC Analytics

Cupertino, CA

$142K - $214K/yr

  • Medical

  • Dental

  • Retirement

Are you passionate about applying software engineering rigor to the measurement and optimization of the development lifecycle itself? As part of our Software Development Life Cycle (SDLC) team, you ...

SeeScan

Test and Measurement Manager

San Diego, CA · On-site

$100K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About this position SeeScan is seeking a Test and Measurement Manager to lead our incoming material ... Partner closely with the Quality Manager and Engineering to align inspection methods with product ...

OpenAI

Product Manager, Safety Measurement

Los Angeles, CA · On-site

$120 - $160/hr

Our work spans diverse research and engineering initiatives--from system‑level safeguards and ... About the Role The Safety Measurement Product Manager owns OpenAI's approach to measuring harm and ...

OpenAI

Product Manager, Safety Measurement

San Francisco, CA · On-site

$293K - $385K/yr

Our work spans diverse research and engineering initiatives-from system-level safeguards and model ... About the Role The Safety Measurement Product Manager owns OpenAI's approach to measuring harm and ...

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All JobsMeasurement Engineer JobsMeasurement Engineer Jobs in California

Measurement Engineer information

See California salary details

$27.4K

$99.6K

$178.2K

How much do measurement engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for measurement engineer in California is $99,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,035.00 and $119,465.00 per year, depending on experience, location, and employer.

What does a measurement engineer do?

Measurement Engineers are responsible for designing measurement systems, calibrating and maintaining precision instruments, collecting and analyzing data, and ensuring compliance with industry standards. On a daily basis, they may conduct on-site measurements, troubleshoot equipment issues, document results, and collaborate with quality, engineering, and production teams. The role often involves a mix of hands-on technical work and reporting or presentation tasks, making strong organizational and communication skills valuable. This dynamic environment gives you the opportunity to both solve practical problems and contribute to product or process improvement.

What is a measurement engineer?

A Measurement Engineer is responsible for designing, implementing, and maintaining measurement systems to ensure accuracy and precision in data collection. They work with sensors, instruments, and data acquisition systems to monitor physical parameters such as pressure, temperature, and flow. Their role is critical in industries like aerospace, manufacturing, and energy, where precise measurements are essential for quality control and process optimization. Measurement Engineers also analyze measurement data, troubleshoot issues, and collaborate with cross-functional teams to improve system performance.

What are the key skills and qualifications needed to thrive as a measurement engineer?

To thrive as a Measurement Engineer, you need a strong background in engineering principles, mathematics, and data analysis, usually supported by a degree in mechanical, electrical, or related engineering disciplines. Familiarity with measurement instruments, calibration techniques, industry standards (such as ISO/IEC 17025), and software like LabVIEW or AutoCAD is often required. Detail orientation, problem-solving, and effective communication skills help Measurement Engineers excel when collaborating with multidisciplinary teams and conveying findings clearly. These skills ensure accurate measurements, reliable data, and effective solutions in quality assurance, product development, and process optimization.

What are the most commonly searched types of Measurement Engineer jobs in California? The most popular types of Measurement Engineer jobs in California are:
What are popular job titles related to Measurement Engineer jobs in California? For Measurement Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Measurement Engineer jobs in California look for? The top searched job categories for Measurement Engineer jobs in California are:
Measurement Engineer jobs near you
Infographic showing various Measurement 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 $99,553 per year, or $47.9 per hour.

Senior Software Engineer, Evaluation Flywheel - Autonomous Vehicles

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 17 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA is building the future of autonomous driving, and evaluation is how we know the drive is getting better. Our AV Evaluation team owns the metrics, golden datasets, and closed-loop evaluation workflows that decide what ships in NVIDIA's self-driving stack - every model change runs through us. We are bringing frontier vision-language models and agentic techniques to evaluation at scale, and the early results are changing how our organization develops AI drivers!
We are looking for a senior engineer to own the engine that makes it all trustworthy: the eval flywheel. This is a hands-on technical leadership role - the flywheel's architecture, quality, and adoption are owned end to end by this person, in code and in the room, not from a strategy document.
What you'll be doing:
  • Owning the eval flywheel's strategy and architecture: how road and simulation driving data becomes curated golden datasets, how metrics are measured against them (precision/recall), and how those results earn lasting trust with the teams that depend on them.
  • Setting the standard for evaluation quality: golden dataset curation, versioning, and health; metric performance measurement; and release processes that keep results dependable as the system evolves.
  • Building the tooling that helps our metric developers iterate quickly: self-serve dataset pipelines, metric performance measurement, and quality reporting used every day by the team and our partners.
  • Partnering with senior engineers and leaders across test engineering, behavior planning, and infrastructure - setting expectations, working through trade-offs, and being the voice of evaluation quality in cross-team decisions.
  • Working directly with AI model developers so evaluation iteration speed becomes an advantage for the whole program, including our push into learned, VLM-based evaluation.

What we need to see:
  • A track record of independent execution and technical leadership: finding the highest-leverage problem, driving it across team boundaries, and delivering without waiting to be asked.
  • Clear, proactive communication with engineers and senior leaders alike, at a fast pace.
  • BS or MS in Computer Science, Robotics, or a related field (or equivalent experience).
  • 12+ years building software, with significant time in autonomous vehicles, robotics, or large-scale ML systems.
  • Deep experience evaluating ML or robotic systems: metric design, ground-truth and golden dataset curation, precision/recall methodology, and the data pipelines behind them.
  • Strong Python and data engineering skills for production-scale pipelines.

Ways to stand out from the crowd:
  • Experience building an evaluation flywheel before - dataset curation, metric measurement, developer tooling - and the story of how it changed model development velocity.
  • Closed-loop simulation evaluation for autonomous driving, and the realism questions that come with it.
  • Applying LLMs or VLMs to evaluation, or productionization the infrastructure behind them.
  • A history of earning trust for metrics across skeptical partner teams.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 31, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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