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Amazon Software Engineer Jobs in Riverside, CA (NOW HIRING)

FieldAI

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 ...

FieldAI

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 ...

FieldAI

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 ...

FieldAI

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 ...

FieldAI

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 ...

FieldAI

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 ...

FieldAI

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 ...

Panasonic Avionics Corporation

MTS V, Software

Irvine, CA · On-site

$150 - $200/hr

Provides systems engineering support on systems, major system elements, and/or interfacing systems ... Designs, develops, and maintains cloud-native architectures on Amazon Web Services (AWS), selecting ...

FieldAI

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 ...

FieldAI

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 ...

FieldAI

Software Engineer, DevOps

Irvine, CA

$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 ...

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Showing results 41-60

All JobsAmazon Software Engineer JobsAmazon Software Engineer Jobs in Riverside, CA

Amazon Software Engineer information

See Riverside, CA salary details

$66.2K

$153.9K

$214.4K

How much do amazon software engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for 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 is an Amazon software engineer?

An Amazon Software Engineer is responsible for designing, developing, and maintaining software systems that support Amazon's vast technical infrastructure. They work on scalable and distributed systems, using languages like Java, Python, or C++. Engineers collaborate with cross-functional teams to build customer-focused solutions, optimize performance, and ensure system reliability. Additionally, they follow Amazon's leadership principles and contribute to innovation in areas like AWS, Alexa, and e-commerce. This role requires strong problem-solving skills, coding expertise, and the ability to handle complex technical challenges at scale.

What are the key skills and qualifications needed to thrive as an Amazon software engineer?

To thrive as an Amazon Software Engineer, you need a strong background in computer science, coding proficiency in languages like Java, C++, or Python, and a relevant bachelor’s degree or higher. Familiarity with AWS cloud services, distributed systems, and software development tools such as Git and CI/CD pipelines is highly valued. Strong problem-solving skills, effective communication, and collaboration are crucial soft skills in this fast-paced environment. These abilities enable engineers to deliver scalable, reliable solutions while working efficiently within large, cross-functional teams.

What are the typical career growth opportunities for an Amazon software engineer?

Amazon offers software engineers a well-defined career path, starting from entry-level roles and advancing to senior engineer, principal engineer, or engineering manager positions. Engineers are encouraged to take on greater responsibilities, lead technical projects, and mentor junior staff as they develop. The company supports professional growth through internal training, skill development programs, and opportunities to work on high-impact, global-scale products. With consistent performance and a proactive approach to learning, you can expect clear advancement opportunities and increased leadership responsibilities at Amazon.

How much are Amazon software engineers paid?

Amazon software engineers 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, with senior roles earning higher salaries and additional benefits such as performance bonuses and stock grants.

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 Amazon Software Engineer jobs in Riverside, CA?

For Amazon Software Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Amazon Software Engineer jobs in Riverside, CA look for?

The top searched job categories for Amazon Software Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Amazon Software Engineer jobs?

Cities near Riverside, CA with the most Amazon Software Engineer job openings:

Amazon Software Engineer jobs near you
Infographic showing various Amazon Software Engineer job openings in Riverside, CA as of August 2026, with employment types broken down into 53% Full Time, and 47% Part Time. Highlights an 60% In-person, and 40% 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

Re-posted 25 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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