Senior Robot Infrastructure Engineer
- Pay
- $100,000 – $300,000 per year
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Senior
- Experience
- 3+ years
- Listed
- 30 days ago
Skills & highlights for this role
- C++
- Go
- edge-to-cloud data pipelines
- OTA update systems
Also useful
- MQTT
- WebSockets
- gRPC
- AWS
- fleet observability
Position Overview
We are seeking a versatile Robotics Infrastructure Engineer to build the edge-to-cloud systems that connect, manage, update, and monitor our robot fleet at scale. Your work will span on-device software, cloud infrastructure, fleet observability, OTA updates, and reliable connectivity in real-world environments.
You should be comfortable writing production-grade C++ and Python on robots while also designing secure, low-latency pipelines into cloud and web platforms. This role involves close collaboration with robotics, autonomy, hardware, deployment, and web product teams to unlock new capabilities powered by real-time robot data.
Responsibilities
- Design, implement, and maintain production-grade C++ and Go running directly on robotic platforms.
- Build on-device systems for interfacing with core robotics software, managing local data buffering, and handling edge-side communication logic.
- Architect and maintain secure, low-latency edge-to-cloud data pipelines connecting deployed robot fleets to cloud infrastructure and web platforms.
- Design, build, and operate OTA update mechanisms for safely and reliably deploying software updates to robots in the field.
- Build telemetry, alerting, logging, and monitoring tools across the robot operating system, cloud infrastructure, and fleet dashboards.
- Optimize edge software for reliability, performance, resource usage, and resilience under real-world deployment constraints.
- Collaborate with autonomy, hardware, deployment, and web product teams to support new features powered by live robot data and fleet-scale infrastructure.
- Continuously improve fleet reliability, observability, uptime across both device and cloud systems.
Preferred Qualifications
- 3+ years of relevant industry experience.
- Strong production programming experience in C++ and Go.
- Prior experience deploying, operating, or managing connected hardware, IoT devices, or robotic systems at scale.
- Experience architecting and managing cloud infrastructure, including services such as AWS, GCP IoT Core, EC2, S3, Lambda, or related technologies.
- Deep understanding of networking protocols commonly used in robotics, IoT, or constrained environments, such as MQTT, WebSockets, gRPC, or similar protocols.
- Demonstrated experience building or managing OTA update systems for edge devices or deployed fleets.
- Strong systems-level understanding of edge computing constraints, including CPU, memory, storage, power cycles, connectivity loss, and local data persistence.
- Experience building fleet observability systems, including telemetry, metrics, logging, alerting, monitoring, and uptime tracking.
- Strong focus on reliability, fault tolerance, self-healing infrastructure, and safe operation of deployed systems.
- Experience with OS-level OTA infrastructure or full-device update mechanisms
Pay and benefits
Base Salary Range $100,000—$300,000 USD
Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts.
Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
From Skild AI's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Senior Robot Infrastructure Engineer role at Skild AI?
The Senior Robot Infrastructure Engineer posting at Skild AI states compensation of $100,000 – $300,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Skild AI's official career site.
Where is the Senior Robot Infrastructure Engineer job at Skild AI located?
This Senior Robot Infrastructure Engineer position at Skild AI is located in San Francisco, CA (On-site). Always check Skild AI's application page for specific state eligibility or relocation policies.
What qualifications are required for Senior Robot Infrastructure Engineer at Skild AI?
For the Senior Robot Infrastructure Engineer role, Skild AI highlights 3+ years of relevant experience; experience with C++, Go, edge-to-cloud data pipelines, OTA update systems. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Senior Robot Infrastructure Engineer position at Skild AI?
This listing links directly to Skild AI's Greenhouse application page. You can apply directly on Skild AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.