2

Remote Rohs Compliance Engineer Jobs in California

Compliance Attorney

Los Angeles, CA · On-site +1

$150K - $230K/yr

Our lean, world-class team of engineers and operators is applying a first-principles approach to ... This position is based in Los Angeles, CA and requires being onsite full-time - hybrid and remote ...

Substation Physical Engineer - REMOTE

Riverside, CA · Remote

$102.80K - $130.90K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... Ensure compliance with industry codes (e.g., IEEE, NESC, NEC) and utility standards * Continuous ...

Substation Physical Engineer - REMOTE

San Luis Obispo, CA · Remote

$106.10K - $135.20K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... Ensure compliance with industry codes (e.g., IEEE, NESC, NEC) and utility standards * Continuous ...

Substation Physical Engineer - REMOTE

Los Angeles, CA · Remote

$106.10K - $135.20K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... Ensure compliance with industry codes (e.g., IEEE, NESC, NEC) and utility standards * Continuous ...

Substation Physical Engineer - REMOTE

Bakersfield, CA · Remote

$101.90K - $129.80K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... Ensure compliance with industry codes (e.g., IEEE, NESC, NEC) and utility standards * Continuous ...

next page

Showing results 1-20

Remote Rohs Compliance Engineer information

What is the difference between Remote Rohs Compliance Engineer vs Remote Environmental Compliance Specialist?

AspectRemote Rohs Compliance EngineerRemote Environmental Compliance Specialist
CertificationsRohs compliance, environmental regulationsEnvironmental regulations, compliance certifications
Work EnvironmentElectronics manufacturing, product designIndustrial, manufacturing, corporate compliance
Industry UsageElectronics, consumer devicesManufacturing, industrial sectors
Job FocusEnsuring products meet Rohs standardsManaging overall environmental compliance

The Remote Rohs Compliance Engineer primarily focuses on ensuring electronic products meet Rohs standards, often working closely with product design and manufacturing teams. In contrast, the Remote Environmental Compliance Specialist handles broader environmental regulations across industries. While both roles require knowledge of environmental standards, the Rohs Compliance Engineer specializes in product-specific compliance, making it more targeted for electronics companies.

What are the most commonly searched types of Rohs Compliance Engineer jobs in California? The most popular types of Rohs Compliance Engineer jobs in California are:
What are popular job titles related to Remote Rohs Compliance Engineer jobs in California? For Remote Rohs Compliance Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Rohs Compliance Engineer jobs in California look for? The top searched job categories for Remote Rohs Compliance Engineer jobs in California are:
What cities in California are hiring for Remote Rohs Compliance Engineer jobs? Cities in California with the most Remote Rohs Compliance Engineer job openings:
Staff Machine Learning Engineer, Vehicle Compliance Reasoning

Staff Machine Learning Engineer, Vehicle Compliance Reasoning

Waymo

San Francisco, CA • On-site, Remote

$251K - $310K/yr

Other

Posted 7 days ago


Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Planner Reasoning Team builds technology that has an extremely broad impact across the Waymo organization and is the team most directly responsible for the Waymo Driver's behavior. We are the software engineering team responsible for Waymo's high-level motion planning, encoding Waymo's desired driving behaviors onboard and offboard. Our mission is to build the driving logic needed to deliver a safe, excellent Waymo Driver at scale. We have wide reaching impact into both onboard and off-board system architecture, paving the way for future-looking deep-learning-based explorations. In this team, you'll have an impact on scaling our Waymo Driver's performance and maintaining and improving our excellent safety record as Waymo expands to more cities.

In this hybrid-based role, you will report to an Engineering Manager.

You will:

  • Lead and develop ML solutions for the Waymo driver's decision making and motion planning -- shaping the data, reward, or loss functions in modeling, data mining from large datasets, developing and refining labeling policies.
  • Analyze, finetune, and evaluate model performance using data-driven approaches
  • Integrate and deploy ML models on the fleet, conduct end-to-end validation and on-field monitoring.
  • Stay up-to-date with the latest advancements in autonomous driving and machine learning, and be able quickly prototype, experiment and deploy novel SOTA solutions.
  • Collaborate closely with partner teams such as perception, research, simulation, and evaluation
  • Mentor engineers in leading adoption of ML-based approaches for solving reasoning problems.

You have:

  • PhD, Masters or Bachelors degree in Computer Science, Machine Learning, Robotics, or a related field
  • 7+ years of years of software engineering / machine learning experience
  • Experience in applied machine learning including deep learning models, reinforcement learning, feature engineering, loss/reward shaping, data shaping, fine tuning and model evaluation
  • Proficiency in dealing with large scale models and datasets
  • High quality API design with an eye towards eval and data driven technique
  • Experience with working and solving design problems that cut across multiple components
  • Proficiency in Python and at least one deep learning frameworks (e.g. PyTorch, JAX, or TensorFlow)

We prefer:

  • Experience in the autonomous driving domain, including areas like motion planning or perception
  • Experience with Large Language Models (LLM) or Vision Language Models (VLM), prompt engineering and chain of thought reasoning
  • Eval experience, contributing to scalable eval workflows and building metrics for ML models
  • Proficiency in C++

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$251,000—$310,000 USD