Jobs at Humble Robotics

Own Humble Robotics’ marketing strategy, brand, messaging, public relations, content, website, social media, events, analytics, budget, and marketing technology. Manage external agencies and vendors while translating complex autonomous freight technology into compelling stories. Collaborate with leadership, engineering, commercialization, and talent teams to support growth, commercialization, fundraising, partnerships, press visibility, and hiring initiatives.

Lead end-to-end supply chain for autonomous vehicle hardware: sourcing, procurement, supplier and inventory management, materials planning, trade compliance, and supplier negotiations to ensure on-time, cost-effective, quality part delivery from prototype through production ramp.

Own and improve sensor extrinsic calibration and localization systems for autonomous trucks. Develop evaluation metrics and fleet-scale frameworks, debug real-world failures, and collaborate across autonomy, vehicle software, and data teams to tighten sensor geometry and state-estimation pipelines.

Build and optimize real-time on-vehicle software for autonomous trucks, including data logging, cross-compilation pipelines, performance instrumentation, testing/CI, and integrations with ML, firmware, cloud, and fleet systems.

Design and maintain pipelines and tooling to ingest, validate, model, and serve multi-modal driving data for ML training, evaluation, and debugging. Collaborate with ML, vehicle software, curation, and fleet teams to scale the data stack and make datasets discoverable and queryable.

Own system-level requirements and architecture for an autonomous vehicle platform. Decompose vehicle requirements into subsystem/component requirements, run design reviews, drive verification/validation, partner with Mechanical, SW/Autonomy, and Functional Safety teams, and lead root-cause analysis and requirement-based improvements.

Design, prototype, and validate mechanical systems for large autonomous vehicles. Create CAD models and drawings, build and test hardware in-shop, integrate sensors and subsystems, manage sourcing and vendors, perform root cause analysis, and support field testing and deployments.

Design, build, and scale ML infrastructure: ingest vehicle sensor data, create batch pipelines for dataset curation, run distributed GPU training, and ensure performance, observability, efficiency, and security across the ML pipeline while partnering with ML teams.

Lead end-to-end design and delivery of the electric powertrain system (battery, HV distribution, motors, inverters, drivetrain). Define system architecture, perform system-level modeling and validation, integrate battery/BMS and thermal strategies, oversee prototype builds and testing, manage suppliers, and ensure HV safety, durability, and production readiness.

Develop and maintain safety-critical, real-time embedded firmware for automotive ECUs. Work across board bring-up to production: bootloaders, drivers, RTOS configuration, automotive communications, hardware-software debugging, testing (unit, integration, HIL), manufacturing test support, and field issue root-cause analysis.

Design and bring up electronic hardware for autonomous vehicles end-to-end: schematic/layout with Altium, PCB bring-up and debugging, integrate sensors/compute/actuators, run lab tests with scopes and logic analyzers, collaborate with Mechanical, Firmware, and Systems engineers, and document test results and issues.

Build and maintain Python-based simulation pipelines and tooling for closed-loop testing, synthetic data generation, and sensor simulation. Integrate neural rendering methods (Gaussian splatting, NeRFs, world models) into the sensor stack, expand scenario libraries and benchmarks, and collaborate with ML/autonomy teams to reduce sim-to-real gaps and support model training.

Build end-to-end ML software for autonomy foundation models: data pipelines, training/evaluation workflows, model implementation (LLM/VLM/VLA), simulator integration, and low-latency serving and inference tooling for vehicle deployment.

Lead product vision, strategy, and roadmap for autonomous vehicle, charging, and data products. Translate cross-functional needs into detailed specs, prioritize trade-offs, track metrics, and coordinate end-to-end delivery while ensuring safety and compliance.