Embedded Engineering Manager - Robotics & Drones

Lead engineering teams responsible for: Embedded systems architecture and platform software. Sensor integration and data acquisition (cameras, lidar, radar, depth sensors, IMUs, and related technologies). Sensor data ingestion, preprocessing, synchronization, and transport. Runtime inference, diagnostics, monitoring, and health management. System-level integration across perception, localization, planning, safety, and control subsystems.

Embedded systems architecture and platform software.

Sensor integration and data acquisition (cameras, lidar, radar, depth sensors, IMUs, and related technologies).

Sensor data ingestion, preprocessing, synchronization, and transport.

Runtime inference, diagnostics, monitoring, and health management.

System-level integration across perception, localization, planning, safety, and control subsystems.

Establish engineering standards, architecture guidelines, and software development best practices that support scalable, production-ready robotics systems.

Drive technical execution from concept through deployment while ensuring reuse across multiple robot and autonomous platform form factors.

Resolve critical technical escalations and remove engineering roadblocks by working directly with product teams when necessary.

Support product development teams throughout the development lifecycle, ensuring technical risks are identified and mitigated early.

Drive cross-functional problem solving across hardware, software, autonomy, safety, and product organizations.

Partner with Technical Program Managers and engineering leads to balance priorities, schedules, resources, and technical scope.

Drive continuous process, methodology, and workflow improvements to improve engineering quality, predictability, and efficiency.

Directly manage and grow multiple systems, software, and perception engineering teams.

Establish clear goals, expectations, priorities, and performance objectives aligned with product and organizational strategies.

Lead hiring, onboarding, performance management, succession planning, and career development activities.

Mentor engineers and technical leaders in: Systems architecture and embedded software design. Robotics and autonomous system development. Scalable software engineering and DevOps practices. Root-cause analysis, problem solving, and technical decision making.

Systems architecture and embedded software design.

Robotics and autonomous system development.

Scalable software engineering and DevOps practices.

Root-cause analysis, problem solving, and technical decision making.

Foster a culture of ownership, quality, innovation, collaboration, and continuous learning.

Identify future staffing, skillset, and resource needs based on product roadmaps and organizational growth plans.

Partner closely with hardware, SoC, and platform engineering teams to: Evaluate and select sensors, compute platforms, and acceleration technologies. Define system architectures that balance performance, power consumption, cost, and scalability. Ensure robust timing, synchronization, communication, and bandwidth management.

Evaluate and select sensors, compute platforms, and acceleration technologies.

Define system architectures that balance performance, power consumption, cost, and scalability.

Ensure robust timing, synchronization, communication, and bandwidth management.

Collaborate with autonomy, localization, planning, controls, and safety teams to establish system interfaces, requirements, data contracts, diagnostics, and performance expectations.

Support build-versus-buy evaluations for sensors, software frameworks, perception technologies, SDKs, and third-party components.

Work closely with Product Managers, Technical Program Managers, and customers to translate business and operational requirements into technical solutions.

Define and track system and perception performance KPIs including reliability, latency, availability, robustness, scalability, confidence calibration, and operational performance.

Ensure systems perform reliably in challenging real-world operating environments, including dynamic obstacles, environmental variability, sensor degradation, and adverse conditions.

Partner with safety engineering teams to identify hazards, analyze failure modes, and support FMEA, fault injection testing, and degraded-mode operations.

Establish monitoring, diagnostics, observability, and health assessment strategies to ensure safe and reliable operation.

Drive continuous improvement through field data analysis, root-cause investigations, corrective actions, and iterative product enhancements.

Engage with customers, partners, and industry stakeholders to understand use cases, operational requirements, and emerging market needs.

Support pilots, demonstrations, proof-of-concept activities, and customer escalations.

Communicate technical capabilities, limitations, risks, and trade-offs clearly to both technical and non-technical audiences.

Incorporate customer feedback and field learnings into product strategy, roadmap planning, and engineering priorities.

Curiosity-driven problem solvers who investigate deeply and think systemically.

Confident leaders who empower teams, set direction, and earn trust.

Hands-on learners with an experimental, builder mindset.

Resilient thinkers who see challenges as opportunities to learn and improve.

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