Senior System Safety Engineer - Perception

Reposted 3 Months Ago
Be an Early Applicant
Mountain View, CA, USA
In-Office
175K-250K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics
The Role
Lead system-level safety for humanoid robots: perform hazard analyses and risk assessments, derive functional and technical safety requirements, design fail-safe and degraded-mode behaviors, develop V&V test cases, and deploy system safety validation equipment at HIL, SIL, and system levels.
Summary Generated by Built In

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.

You'll own the safety requirements and safety evidence for the robot's perception path, end to end: from the sensors and their data links, through detection and decision logic, to the robot's response. You'll make sure the path is deterministic, auditable and explainable, and that it meets its safety targets.

What You’ll Do

  • Algorithms: Own the end-to-end safety targets and performance of perception algorithms used in robot’s collision avoidance system, develop evidence that design meets them

  • Requirements: Derive by engineering analysis system safety requirements for detection performance, classification accuracy, KPIs, identifying and effectively mitigating malfunctions, degradation in performance, and edge cases

  • SOTIF: Develop detection and mitigation strategies within SOTIF framework and own SOTIF performance from developing requirements to analyzing VnV test data

  • Calibration: Set safety requirements for calibration accuracy, drift detection and recalibration triggers, and analyze data for trends and drifts

  • Error budgets: Set the safety limits for the sensor-to-actuator error budget, check that the allocation stays inside them, contribute to trade studies and influence hardware/software designs

  • Software safety: Create safety concept and the safety requirements for its implementation, working closely with Software Engineering team, achieving safety-compliant software implementation

  • Sensor hardware: Define safety requirements for safety-related sensors (diagnostics, fault detection, failure rates), review supplier safety manuals and be a critical partner in sensor selection, and specify the qualification evidence needed and drive verification.

  • Safety work products: Generate work products towards Robot Safety Case, drive reviews and approvals with an NRTL

What We’re Looking For

  • Algorithms: Expertise in deterministic, auditable, explainable computer vision algorithms used for perception

  • Requirements: Experience in analytically and empirically deriving engineering requirements with numerical pass/fail constraints to physical performance expressed in distance, time, speed, etc.

  • SOTIF: Proven record of developing SOTIF work products for a safety-related robotic or automotive system

  • Calibration: Experience creating calibration fixtures, defining calibration processes and driving failure and trend analysis of field data

  • Error budgets: Experience deriving and allocating error budgets, experience in developing analysis backed by data to inform trade studies to achieve compliance with error budgets

  • Software safety: Strong background in safety-critical embedded software, real-time operating systems, computer vision algorithms, and safety-compliant C/C++ development

  • Sensor hardware: Experience with Lidars, Cameras, Time-of-Flight sensors, Radars, Ultrasonics, other sensing technologies and related sensor pipeline hardware and state of art methodologies used in safety-related context

Preferred

  • MS or PhD in Computer Science, Electrical Engineering or Robotics with focus on Computer Vision and Embedded Systems

  • Experience creating work products for Functional Safety and SOTIF and successfully passing an audit by an NRTL

  • Experience with safety-rated compute hardware with strong vision processing capabilities

  • Experience designing safety architectures and documenting requirements within the context of IEC 61508 or ISO 26262

  • Experience with embedded software system developed with compliance to MISRA C, ISO 26262-6 or IEC 61508-3

  • Perception Sensors Functional Safety background from automotive industry

Skills Required

  • B.S. in Electrical Engineering
  • Certified Functional Safety Engineer in IEC 61508 or ISO 26262
  • Experience designing safety systems for complex electromechanical products with significant safety aspects
  • Experience in optics, machine vision, and computer vision
  • Hands-on engineering experience (test benches, measurement, root-cause analysis)
  • Hands-on experience in verification and validation of safety requirements using HIL and SIL
  • Experience in humanoid robots, automotive, or autonomous mobile robots (AMR)
  • Certified Functional Safety Engineer in Machinery Safety
  • Certified SOTIF ISO 21448 engineer
  • Experience with laser sensors, LiDAR, and time-of-flight cameras
  • Hands-on experience performing FMEDA per IEC 61508 or ISO 26262
  • Experience designing and deploying industrial automation and safety systems
  • Experience in automotive ADAS collision avoidance
  • In-depth understanding of safety-critical architectures for compute, networking, and power distribution
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The Company
73 Employees
Year Founded: 2024

What We Do

Rhoda AI builds robot foundation models that learn from internet-scale video to enable manipulation-capable robots to generalize in real-world industrial environments. Using a Direct Video Action architecture and its FutureVision intelligence layer, Rhoda focuses on turnkey deployments in manufacturing, logistics, and e-commerce—aiming to move robots out of controlled labs and into reliable, adaptive production settings.

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