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  • Emplois similaires à : Software deployment specialist
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Software Engineer, Applications & Deployment InfrastructureMRINetwork • San Francisco, California, United States
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Software Engineer, Applications & Deployment Infrastructure

MRINetwork
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Postuler Maintenant

À propos

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
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  • San Francisco, California, United States

Compétences linguistiques

  • English
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