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Director Remote Government Software Engineering Jobs in Riverside, CA

Senior Software Engineer, MLOps

Irvine, CA ยท On-site +1

$131K - $173K/yr

Work with cross-functional engineering teams to integrate ML components into robotics software ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Sr. Engineer II - Software Design

Irvine, CA ยท Remote

$130K - $172K/yr

Lead software development and manage KCS systems which support over-the-air software updates, remote diagnostics, and telematics functionalities. * Write efficient and optimized code in programming ...

Development Team Lead - AI Team

Irvine, CA ยท Remote

$200K - $250K/yr

Development Team Lead - AI Team Full-time Remote Exclusive confidential search -- details shared ... of software engineering experience * Deep knowledge of C#, .NET, and .NET Core and modern ...

Director (Public Sector Consulting)

Irvine, CA ยท On-site +1

$175K - $230K/yr

Chicago, IL | Irvine, CA | San Francisco Bay Area, CA (Hybrid) Remote: 100% Remote Option Available ... Represent MGO at industry conferences, government forums, and professional associations.

Software Developer (Salesforce)

Irvine, CA ยท On-site +1

$59.50 - $79/hr

WHAT YOU WILL DO The Software Developer (Salesforce) develops, enhances, and supports Salesforce ... Hybrid flexibility - 4 days in office, 1 day remote * Vehicle perks - monthly vehicle allowance ...

AVP, Frontend Outsystems Manager

Irvine, CA ยท On-site +1

$110K - $140K/yr

Remote or Hybrid is not available. Axos Bank is looking for an experienced, product-oriented ... software engineering team and help ensure that the experience of our clients is second to none.

This position requires use of MS Excel software to analyze and aggregate data related to Budgets ... Manager, Engineering, Procurement and Construction Manager * Candidate must possess excellent ...

This position requires use of MS Excel software to analyze and aggregate data related to Budgets ... Manager, Engineering, Procurement and Construction Manager * Candidate must possess excellent ...

This position requires use of MS Excel software to analyze and aggregate data related to Budgets ... Manager, Engineering, Procurement and Construction Manager * Candidate must possess excellent ...

This position requires use of MS Excel software to analyze and aggregate data related to Budgets ... Manager, Engineering, Procurement and Construction Manager * Candidate must possess excellent ...

Showing results 41-60

Director Remote Government Software Engineering information

See Riverside, CA salary details

$145K

$265K

How much do director remote government software engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for director remote government software engineering in Riverside, CA is $254,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $263,900.00 and $263,900.00 per year, depending on experience, location, and employer.

What is the difference between Director Remote Government Software Engineering vs Government Software Engineer?

AspectDirector Remote Government Software EngineeringGovernment Software Engineer
CredentialsBachelor's/Master's in Computer Science, leadership experienceBachelor's in Computer Science or related field, coding skills
Work EnvironmentRemote leadership role overseeing teamsOn-site or remote coding and development
Employer & IndustryGovernment agencies, tech contractorsGovernment agencies, public sector IT teams
Search & Comparison IntentLeadership, management, remote software rolesTechnical, coding, development roles

The main difference is that the Director Remote Government Software Engineering focuses on leading teams remotely, managing projects, and strategic planning, while the Government Software Engineer is primarily involved in coding and technical development within government IT projects. Both roles require technical skills, but the director position emphasizes leadership and remote work management.

What are popular job titles related to Director Remote Government Software Engineering jobs in Riverside, CA?

For Director Remote Government Software Engineering jobs in Riverside, CA, the most frequently searched job titles are:

What cities near Riverside, CA are hiring for Director Remote Government Software Engineering jobs?

Cities near Riverside, CA with the most Director Remote Government Software Engineering job openings:

Infographic showing various Director Remote Government Software Engineering job openings in Riverside, CA as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 8% Part Time, 4% Contract, and 1% Nights. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $254,471 per year, or $122.3 per hour.

Senior Software Engineer, MLOps

FieldAI

Irvine, CA โ€ข On-site, Remote

$131K - $173K/yr

Full-time

Re-posted 9 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.