Remote Failure Analysis Engineer Jobs in San Rafael, CA

Software Engineer, Applications &Deployment Infrastructure

Confidential Physical AI & Robotics Company | San Francisco Bay Area

Build the Infrastructure That Makes Intelligent Robots Work in the Real World

A rapidly growing robotics and AI company is seeking a Software Engineer, Applications & Deployment Infrastructure to help scale the deployment of next-generation intelligent robotic systems operating in real-world commercial environments.

This organization is developing advanced AI-powered robotic platforms capable of learning, adapting, and improving across diverse environments. As deployments expand, the challenge is no longer simply getting a robot to perform a task. The challenge is building the infrastructure, tooling, and operational systems that allow fleets of robots to be deployed, monitored, supported, and continuously improved at scale.

This role sits at the intersection of robotics, AI, cloud infrastructure, and field operations. You’ll help transform real-world deployment complexity into scalable engineering systems that improve reliability, accelerate deployments, and create continuous feedback loops between deployed systems and engineering teams.

If you’re energized by solving difficult systems problems and want to work on technology that exists far beyond the lab environment, this is an opportunity to have a direct impact on the future of Physical AI.

What You’ll Do

Build Deployment Infrastructure

Design and develop the platforms, tooling, and operational systems that support large-scale deployment of intelligent robotic systems.

Responsibilities include:

• Fleet monitoring and observability platforms
• Remote diagnostics and troubleshooting tools
• Deployment and configuration management systems
• Operational dashboards and support workflows
• Data collection and failure analysis pipelines

Partner with Operations Teams

Work directly with deployment and field engineering teams to understand real-world operational challenges and improve scalability.

You will:

• Convert manual processes into software-driven workflows
• Standardize deployment practices across sites
• Reduce operational friction and improve deployment velocity
• Build systems that make each deployment easier than the last

Create Feedback Loops Between Field and Engineering

Develop infrastructure that captures valuable operational insights from deployed systems and makes them actionable.

This includes:

• Collecting and organizing deployment data
• Surfacing failure modes and edge cases
• Enabling performance analysis across environments
• Supporting continuous improvement of AI-driven systems

Build End-to-End Solutions

Contribute across multiple layers of the technology stack, including:

• Backend services and APIs
• Data infrastructure and analytics pipelines
• Internal and customer-facing applications
• Hardware and robotics integrations
• Cloud and edge computing systems

Improve System Reliability

Help ensure intelligent robotic systems perform consistently in unpredictable real-world environments.

Areas of focus include:

• Deployment robustness
• System stability
• Failure recovery
• Observability and diagnostics
• Operational scalability

What You’ll Bring

Required Qualifications

• Bachelor’s degree or higher in Computer Science, Robotics, Computer Engineering, or a related technical discipline
• 5+ years of professional software engineering experience
• Strong computer science fundamentals and systems-thinking mindset
• Expertise developing production software in Python
• Experience designing and building scalable backend systems
• Experience integrating cloud services with hardware, edge devices, or physical products
• Experience with containerization and orchestration technologies such as Docker and Kubernetes
• Familiarity with cloud platforms including AWS, GCP, or Azure
• Strong communication skills and ability to collaborate across multiple engineering disciplines
• Comfort operating in fast-moving, high-growth environments with significant ownership and autonomy

Preferred Experience

• Robotics, autonomous systems, or physical AI
• Fleet operations and deployment infrastructure
• Observability, monitoring, and diagnostics systems
• Hardware-integrated software applications
• Edge computing environments
• ROS or robotics middleware
• Unity, C#, simulation, AR/VR, or related technologies

What Success Looks Like

The ideal candidate enjoys solving messy, real-world engineering problems and building durable systems that scale.

You are likely to thrive in this role if you:

• Enjoy building new systems from the ground up
• Think like both a software engineer and a systems engineer
• Are motivated by operational challenges and reliability
• Like working across software, hardware, infrastructure, and operations
• Have a strong ownership mentality
• Are passionate about the future of robotics and AI

Why This Opportunity?

• Join a well-funded, high-growth robotics and AI company
• Work on technology actively deployed in real-world environments
• Build foundational infrastructure that directly impacts company scalability
• Collaborate with world-class engineers, researchers, and operators
• Significant technical ownership and influence
• Competitive compensation and meaningful equity opportunity
• Opportunity to help shape the future of intelligent robotic systems

Location: San Francisco Bay Area Work Arrangement: Onsite Compensation: Competitive Base Salary + Equity