Senior Reliability Engineer

About the role

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. As the Senior Reliability Engineer, you own reliability as an engineering discipline, not just a test outcome. Every mission profile we define, every acceleration factor we trust, every design change that prevents a failure mode from reaching hardware starts with the reliability analysis you run. Reliability starts upstream of the test bench.

Responsibilities

• Mission Profile Decomposition: Decompose platform and subsystem requirements into mission profiles — duty cycles, load spectra, environmental exposure — that define what “real-world use” means for each hardware discipline.
• Accelerated Test Planning: Translate mission profiles into accelerated test plans: acceleration factors, sample sizes, and pass/fail criteria for HALT/HASS, thermal cycling, vibration, and fatigue campaigns, rather than only interpreting results after tests are run.
• Failure Mode Analysis: Build and maintain FMEA/FMECA analyses for critical subsystems, and drive design changes that eliminate failure modes before they reach hardware.
• Quantitative Reliability Modeling: Apply quantitative reliability methods (Weibull analysis, MTBF/MTTF, censored-data survival analysis, physics-of-failure acceleration models) to test and field data to predict and track reliability over time.
• Cross-Discipline Partnership: Partner with actuator, electrical, and structures test and design engineers to turn mission profiles into test-stand requirements, and to close the loop from test failure to root cause to design fix.
• Reliability Data Infrastructure: Build the reliability program's data infrastructure and reporting so the organization can track reliability trends and revisit mission-profile assumptions as the platform scales from prototype to production.

Requirements

• Education: Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Reliability Engineering, or a related field.
• Experience: 5+ years in reliability engineering, with demonstrated ownership of mission profile development and accelerated test design.
• Mission Profile Development: Experience developing mission profiles or usage/environmental duty-cycle models from product requirements, and using them to define accelerated test plans.
• Acceleration Models: Working knowledge of acceleration models (Arrhenius, Coffin-Manson, inverse power law, or similar) used to translate mission profiles into lab test parameters.
• Quantitative Methods: Hands-on experience with FMEA/FMECA, Weibull analysis, and MTBF/MTTF modeling.
• Electromechanical Systems: Experience working with motors, actuators, power electronics, or similar systems in a product going through active development.
• Communication: Experience communicating reliability risk and recommendations to cross-functional engineering and program stakeholders.

Skills

• Bonus Points (The “Plus” List):
  • Experience partnering with systems or requirements engineering to define mission profiles for a new or evolving product line, rather than only applying an inherited one.
  • Experience in automotive, EV, robotics, semiconductor, or consumer electronics reliability engineering.
  • Experience standing up a reliability program or reliability requirements from scratch on an early-stage or prototype-phase product.
  • Familiarity with low-voltage electronics, sensor, and power-electronics reliability, in addition to mechanical/structural fatigue and durability.
  • Experience with field-reliability or warranty data analysis in addition to lab-based accelerated testing.
  • Experience scripting or building tooling (Python or similar) for reliability data analysis and reporting.

Pay

Compensation Range: $175K - $250K