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Principal Architect Navigation

Job in Redwood City, San Mateo County, California, 94061, USA
Listing for: GreyOrange
Full Time position
Listed on 2026-01-02
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below

Job Overview

As a Principal Architect, you will lead the design and evolution of Grey Orange’s Multi-Agent Path Finding (MAPF) algorithm. You’ll define architectural direction, integrate machine learning techniques, and build the core capabilities required to achieve state‑of‑the‑art and scalable navigation.

Location

SF, Redwood City CA

Key Responsibilities
  • Define the technical roadmap to push performance and scale in navigation
  • Lead design and implementation of ML model pipelines, including data ingestion, training, validation, deployment, and monitoring
  • Own production deployment of ML/RL models using MLOps tools such as Vertex AI or similar platforms
  • Integrate ML pipelines with robotic orchestration engines to support continuous learning and adaptation
  • Collaborate closely with software, robotics, product, and operations teams to align system goals with real‑world fulfillment challenges
Required Qualifications
  • Education:

    M.S/Ph.D in Computer Science, AI/ML, or a related field
  • Experience:

    10+ years total experience in academia or industry
Technical Expertise
  • Strong knowledge of path planning, graph search algorithms, and optimization techniques for multi‑agent systems
  • Deep understanding of machine learning, deep learning, and reinforcement learning
  • Experience using Tensor Flow or Py Torch
  • Proven experience in building, deploying, and maintaining ML models in production environments
  • Hands‑on experience with MLOps, including CI/CD for models, pipeline orchestration, and model monitoring
  • Proficiency in Python; familiarity with Erlang, Elixir, or other concurrency‑first functional programming languages is a good to have
  • Solid understanding of concurrency, parallelism, and real‑time systems
  • Strong CS fundamentals including algorithms, operating systems, networking, memory management, and performance tuning
  • Experience with distributed systems, microservices, and containerized deployments using Docker and Kubernetes
  • Knowledge of event‑driven architectures
  • Familiarity with cloud platforms such as Google Cloud Platform (GCP), and specifically Vertex AI
  • (Nice to Have) Contributions to open‑source projects, research publications, or patents in MAPF, RL, or distributed AI systems
EEO Statement

Grey Orange provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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