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Lead Systems Engineer

Job in Pasadena, Los Angeles County, California, 91122, USA
Listing for: Miso Robotics, Inc.
Full Time position
Listed on 2026-08-02
Job specializations:
  • Engineering
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 160000 USD Yearly USD 140000.00 160000.00 YEAR
Job Description & How to Apply Below

Our Company

MISO develops technology that elevates human lives in the commercial kitchen.

We’re engineering production-ready robotic systems that tightly integrate perception, real-time decision making, and electromechanical controls to automate the most dangerous, least desirable tasks in food preparation. That means building software that understands the physical world as it actually behaves, and hardware that can execute precisely in the face of chaos. Success is measured in uptime, throughput, and trust from our customers, not demos.

Our flagship platform, Flippy, is already operating in high-volume restaurant kitchens across seven states. Zippy, our Kitchen Intelligence software centralizes all operational data in our broader ecosystem, expanding the role of AI enabled autonomy in real-world operations. Backed by industry leaders, including Ecolab (NYSE: ECL), Miso combines the stability of a proven commercial product with the technical depth and ambition of a company passionately innovating to solve foundational problems in robotics and restaurant operations.

If you’re excited by hard constraints, real customers, and the challenge of making software and machines perform reliably where failure isn’t an option, you’ll find meaningful problems to work on here.

The Role

The Lead Systems Engineer is responsible for defining, integrating, verifying, and optimizing the end-to-end system architecture for Miso Robotics' autonomous robotic platforms. This role serves as the technical leader responsible for ensuring seamless integration across mechanical, electrical, embedded, software, cloud, and AI systems while driving system performance, reliability, safety, and product quality from concept through production and field deployment. In addition, this position leads Miso's Design Verification & Systems Engineering (DVSE) team, providing technical leadership, mentoring, and execution oversight to ensure successful product releases and continuous improvement across verification, validation, and systems engineering processes.

Key Responsibilities Systems Architecture & Requirements
  • Define, own, and evolve the overall system architecture for Miso Robotics' robotic platforms, ensuring alignment across mechanical, electrical, embedded, software, cloud, and AI subsystems.
  • Translate customer, operational, and business requirements into measurable system requirements and technical specifications.
  • Develop and maintain system requirements documentation, interface control documents (ICDs), architecture diagrams, and technical specifications using systems engineering best practices.
  • Establish and maintain complete requirements traceability from customer needs through design, implementation, verification, validation, and production.
Verification & Validation (V&V)
  • Own the end-to-end hardware and software verification and validation (V&V) strategy across all product releases.
  • Develop system-level verification plans, test strategies, procedures, and traceability matrices spanning hardware, firmware, software, and cloud services.
  • Define verification acceptance criteria and entry/exit criteria for unit, integration, system, regression, and production acceptance testing.
  • Lead system integration efforts, coordinating cross-functional engineering teams to validate subsystem interfaces and end-to-end robotic performance.
  • Develop and improve automated and manual testing frameworks, including Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) environments.
  • Track and report key quality metrics including test coverage, defect density, verification status, and release readiness.
Reliability, Risk & Compliance
  • Lead Miso's system reliability engineering program by defining reliability requirements, targets, and system performance objectives.
  • Conduct reliability growth analysis and monitor KPIs including Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), field failure rates, and other reliability metrics.
  • Analyze field performance and customer data to identify trends, drive root cause investigations, and implement corrective actions.
  • Lead system-level risk management activities including FMEAs, hazard analysis, and risk…
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