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Contract Amazon Software Engineer Jobs in Riverside, CA

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Work with cross-functional engineering teams to integrate ML components into robotics software ... Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are ...

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

Work with cross-functional engineering teams to integrate ML components into robotics software ... Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are ...

... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Cloud Software Engineer II

Ontario, CA · On-site

$61 - $79.25/hr

We are seeking an experienced high-performing software engineer for a contract position in our core software group. The successful candidate will join a highly skilled development team delivering key ...

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/yr

... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Software Engineer, DevOps

Irvine, CA

$56.50 - $77.50/hr

... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Software Engineer, Web

Irvine, CA · On-site

$155K - $200K/yr

... Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

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Showing results 1-20

Contract Amazon Software Engineer information

See Riverside, CA salary details

$66.2K

$153.9K

$214.4K

How much do contract amazon software engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for contract amazon software engineer in Riverside, CA is $153,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $180,500.00 per year, depending on experience, location, and employer.

What are the typical responsibilities and collaboration expectations for a Contract Amazon Software Engineer?

As a Contract Amazon Software Engineer, you will typically work on project-based assignments, focusing on delivering specific features or resolving issues within a defined time frame. You’ll frequently collaborate with full-time engineers, product managers, and sometimes cross-functional teams to ensure seamless integration of your work into larger projects. Communication is key, as you may need to quickly adapt to Amazon’s agile development practices and participate in code reviews, stand-up meetings, and sprint planning sessions. While your contract status may mean less involvement in long-term strategic planning, you’ll still contribute meaningfully to the team’s goals and can leverage this experience for future opportunities at Amazon or elsewhere.

How much do software engineers at Amazon get paid?

Software engineers at Amazon typically earn a base salary ranging from $100,000 to $160,000 annually, with total compensation often including bonuses and stock options that can significantly increase overall earnings. Compensation varies based on experience, location, and level within the company, and Amazon values technical skills and problem-solving abilities in its engineering roles.

How much are Amazon contractors paid?

Amazon software engineering contractors typically earn between $40 and $70 per hour, depending on experience, location, and project scope. Compensation may also include benefits such as flexible schedules and remote work options, with pay rates varying based on contract length and specific role requirements.

What are the key skills and qualifications needed to thrive as a Contract Amazon Software Engineer, and why are they important?

To excel as a Contract Amazon Software Engineer, you need strong programming skills (often in Java, Python, or C++), a solid understanding of computer science fundamentals, and a relevant degree or equivalent experience. Familiarity with AWS services, CI/CD pipelines, version control systems like Git, and possibly certifications such as AWS Certified Developer are highly valued. Excellent problem-solving abilities, effective communication, and adaptability help contractors integrate quickly and contribute to dynamic teams. These skills and qualities are crucial for delivering high-quality software solutions efficiently in Amazon's fast-paced, results-driven environment.

What is the difference between Contract Amazon Software Engineer vs Contract Software Developer?

AspectContract Amazon Software EngineerContract Software Developer
CredentialsBachelor's in CS or related field, relevant coding skillsBachelor's in CS or related field, coding skills
Work EnvironmentAmazon's offices or remote, fast-paced tech environmentVarious companies, remote or onsite, diverse industries
Employer & IndustryAmazon, e-commerce, cloud computingMultiple industries, tech firms, startups
Search & Comparison IntentYes, often compared for project scope and tech stackYes, similar roles but broader industry focus

The Contract Amazon Software Engineer typically works within Amazon's specific environment, focusing on large-scale projects using Amazon's tech stack. In contrast, a Contract Software Developer may work across various companies and industries, with more diverse project types. Both roles require similar technical credentials but differ mainly in employer, environment, and project scope.

Does Amazon hire contract software engineers?

Yes, Amazon hires contract software engineers for various projects, often through staffing agencies or third-party vendors. These roles typically involve working on specific tasks or projects with defined durations and may require skills in cloud computing, programming, and Agile methodologies.

What is a Contract Amazon Software Engineer?

A Contract Amazon Software Engineer is a software professional hired on a temporary or project-based contract to work on Amazon’s technology projects. Unlike full-time employees, contract engineers typically work for a set period or until a project's completion, often through staffing agencies or as independent contractors. They are responsible for designing, developing, and maintaining software solutions, collaborating with Amazon teams, and meeting project goals. While they may have similar technical responsibilities to full-time engineers, contract positions usually offer less job security and different benefits. Contract roles can be a good way to gain experience working at Amazon or in large-scale tech environments.

What engineers make $500,000?

Senior software engineers at large tech companies like Amazon can earn $500,000 or more annually, especially with bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced skills in areas like cloud computing or machine learning, and often involves leadership roles or specialized expertise.
What are the most commonly searched types of Amazon Software Engineer jobs in Riverside, CA? The most popular types of Amazon Software Engineer jobs in Riverside, CA are:
What are popular job titles related to Contract Amazon Software Engineer jobs in Riverside, CA? For Contract Amazon Software Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What cities near Riverside, CA are hiring for Contract Amazon Software Engineer jobs? Cities near Riverside, CA with the most Contract Amazon Software Engineer job openings:
Infographic showing various Contract Amazon Software Engineer job openings in Riverside, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $153,907 per year, or $74 per hour.

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Posted 15 days ago


Key responsibilities

  • Design, build, and maintain GPU-based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference, and deployment workflows.

  • Collaborate with robotics teams to implement model serving infrastructure for edge or robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.


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.