Serve Robotics Logo

Serve Robotics

Staff Systems Engineer

Reposted 5 Days Ago
Be an Early Applicant
Hybrid
Redwood City, CA, USA
195K-240K Annually
Senior level
Hybrid
Redwood City, CA, USA
195K-240K Annually
Senior level
The Staff Systems Engineer leads interdisciplinary teams to define requirements and specifications for an autonomous delivery robot, ensuring performance and safety through collaboration and problem-solving.
The summary above was generated by AI

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

As a Staff Systems Engineer, you are responsible for ensuring that our robot is safe, robust, performant, and satisfies market/customer needs. You will own the decomposition of requirements, architectures, and specifications of an autonomous last-mile delivery robot, from high-level system requirements and architecture all the way to low-level component selection criteria and performance budgets. You will serve as the glue of the organization, working across many teams and disciplines to help orchestrate the development of a complex system by breaking high-level goals down into actionable information across various functions.

Responsibilities 

  • Lead interdisciplinary teams to decompose system functions, behaviors, and features into actionable engineering requirements and specifications for an autonomous last-mile delivery robot

  • Facilitate the development of actionable metrics to evaluate the performance of components, subsystems, and systems throughout the robot, both in the lab and in the field

  • Develop frameworks and facilitate trade studies to optimize system and subsystem designs for performance, safety, and cost, particularly negotiating between hardware and software to find the best design solution

  • Lead interdisciplinary teams through complex root-cause analysis and resolution in which there are many possible root causes that involve various areas of engineering, using a structured approach for problem solving

  • Work closely with Systems Verification & Validation Engineers to define verification & validation plans that ensure the delivery of a safe and responsible autonomous product

Qualifications

  • B.S. in Mechanical, Electrical, Software or equivalent engineering field

  • 12+ years of experience in the design and analysis of complex electromechanical and/or robotic systems

  • Experience in systems engineering and requirements management including systems analysis, requirements decomposition, and verification & validation

  • Experience in data analysis of test results including probability and statistical analysis techniques

  • Hands-on approach to the test and debugging of electromechanical systems

  • Fundamental knowledge of mechanical, electrical, and software engineering

  • Excellent written and verbal communication skills for audiences ranging from technicians to senior executives

What Makes You Standout

  • M.S., or Ph.D in Mechanical, Electrical, Software or equivalent engineering field

  • Experience in one or more of the following industries: automotive, medical, aerospace, robotics

  • Experience in autonomous systems and/or mobile robotics

  • Experience working in Unix/Linux environments

Similar Jobs

10 Days Ago
Hybrid
Mountain View, CA, USA
189K-291K Annually
Expert/Leader
189K-291K Annually
Expert/Leader
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead DevOps and platform engineering for VCU/CCU infotainment: define CI/CD and build architecture, optimize embedded Linux (Yocto) pipelines, implement distributed builds, automate releases, build self-service developer platforms, improve observability and reliability, apply AI/ML for predictive automation, mentor engineers, and drive cross-functional delivery from design to production.
Top Skills: BashBuildbarnDockerEmbedded LinuxGithub ActionsGitlab CiGroovyJenkinsKubernetesPythonRbeYocto
11 Days Ago
Hybrid
Mountain View, CA, USA
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, and productionize scalable agentic AI systems (agent orchestration, sandboxed execution, memory, latency optimization, knowledge graphs). Implement frontier AI architectures, collaborate with ML/security/product teams, mentor engineers, and deliver production-grade code and product improvements.
Top Skills: GoJavaLlmsmacOSOpenaiPython
Yesterday
Remote or Hybrid
Santa Clara, CA, USA
201K-352K Annually
Senior level
201K-352K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, and operate production-grade agentic AI systems: multi-agent orchestration, enterprise-grounded reasoning using CMDB/Knowledge Graph, retrieval/RAG pipelines, model integration with frontier SDKs, and trust/safety/governance. Lead architecture, code quality, and mentor engineers for scalable, safe autonomous agents.
Top Skills: AnthropicC++CmdbGoGoogle (Ai Sdks)Hybrid SearchInference OptimizationJavaKnowledge GraphLlm Fine-TuningMlopsModel ObservabilityOpenaiPrompt EngineeringPythonRagRe-RankingRetrieval Evaluation MetricsVector StoresWorkflow Data Fabric

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account