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Cruise Self Driving Jobs (NOW HIRING)

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

... Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a ...

FieldAI

Software Engineer, Product

Irvine, CA · On-site

... Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

... Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a ...

FieldAI

Software Engineer, Product

Irvine, CA · On-site

... Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a ...

FieldAI

Product QA & Data Engineer

Irvine, CA

... Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a ...

FieldAI

Senior Autonomy Engineer - Federal

Irvine, CA · On-site

... Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a ...

FieldAI

Senior Autonomy Engineer - Federal

Irvine, CA · On-site

$150K - $180K/yr

... Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a ...

FieldAI

Senior Autonomy Engineer - Federal

Irvine, CA · On-site

$150K - $180K/yr

... Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a ...

Kett Engineering

Be Seen First

Vehicle Operator

Troy, MI · On-site

$18/hr

... cruise control), PEB (predictive emergency braking), Self-Driving Technology, AD/HAD, etc. Experience and training on providing subjective feedback on vehicle behaviors and environment Local ...

American Cruise Lines

Be Seen First

Sales Representative

Sandy, UT · On-site

$60K - $100K/yr

... force driving record-breaking revenue. At American Cruise Lines, we are driven by our values ... Self-motivated with a positive, can-do attitude. * Strong computer skills and effective time ...

American Cruise Lines

Be Seen First

Sales Representative

Sandy, UT · On-site

$60K - $100K/yr

... force driving record-breaking revenue. At American Cruise Lines, we are driven by our values ... Self-motivated with a positive, can-do attitude. * Strong computer skills and effective time ...

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Cruise Self Driving information

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How much do cruise self driving jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for cruise self driving in the United States is $21.37, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.63 per hour, depending on experience, location, and employer.

What is a Cruise Self Driving?

A Cruise Self Driving job typically involves working with autonomous vehicle technology to support self-driving operations. Depending on the role, responsibilities may include monitoring and testing autonomous vehicles, gathering data, ensuring safety protocols are followed, and assisting with operational logistics. Employees may work in engineering, safety operations, fleet management, or technical support. These roles help improve self-driving technology and ensure safe deployment in real-world environments.

What does a Cruise Self Driving do?

A typical day in Cruise Self Driving involves close monitoring of autonomous vehicle behavior, analyzing real-time data from test drives, troubleshooting technical issues, and collaborating with cross-functional teams such as software engineering and safety operations. You may spend time both in the office, analyzing logs and refining algorithms, and out in the field, observing vehicles during test runs or validations. The role often requires flexibility to adapt to shifting priorities, proactive problem-solving, and clear documentation of findings. This dynamic environment offers hands-on experience with cutting-edge autonomous vehicle technology, and many team members find it both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the Cruise Self Driving position, and why are they important?

To thrive in a Cruise Self Driving role, candidates generally need a background in computer science, engineering, or robotics, with expertise in autonomous vehicle systems and real-time data analysis. Familiarity with tools like ROS (Robot Operating System), autonomous driving simulation platforms, and automotive safety certifications such as ISO 26262 is highly valued. Strong problem-solving skills, attention to detail, and effective team communication set top performers apart. These abilities ensure safe and reliable operation of self-driving vehicles, as well as successful collaboration with engineering and testing teams.

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Cruise Self Driving jobs near you
Infographic showing various Cruise Self Driving job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Temporary. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $44,459 per year, or $21.4 per hour.

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site

$131K - $173K/yr

Full-time

Re-posted 20 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.
What You Will Get To Do
  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.
  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.
  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.
  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.
  • Monitor model performance and system reliability across development and production environments.
  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.
  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.
  • Strong programming skills in Python or similar languages.
  • Experience building and maintaining machine learning pipelines.
  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,
  • Solid understanding of Linux systems and distributed computing environments.
  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.
  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart
  • Experience deploying and operating ML systems for robotics or real-world physical systems.
  • Experience with scaling AI, ML, and inference workloads on Kubernetes.
  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)
  • Experience with experiment tracking, model versioning, or dataset versioning tools.
  • Experience optimizing ML pipelines for large-scale training and data processing.
  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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