Sr. Sensor & Compute System Engineer (Robotic vision), Matrix

Amazon; Town of Westboro (WI); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Medical, Dental, Vision Coverage

PTO

401(k) Plan

Job summary

Amazon Robotics seeks a Senior Sensor & Compute System Engineer to join the Matrix team. This cross-disciplinary SME role bridges customers, product strategy, architecture, and engineering execution across sensing and edge compute domains.

You will own end-to-end system definitions—from discovery through trade-offs to strategic advantage—shaping how next-generation robotic platforms perceive, process, and act on the world.

Qualifications

• Bachelor's degree in electrical engineering, computer science, mathematics or physics.
• Experience leading architecture and design of new and current systems.
• Experience defining requirements with technical and product stakeholders.
• 8+ years of experience in systems engineering, sensor development, edge computing, or related technical roles.
• Proven track record of leading customer-facing technical engagements.
• Deep understanding of sensor technologies and edge compute architectures.

Responsibilities

• Own customer relationship as the senior technical contact and define requirements across sensing and compute.
• Define sensor and compute product roadmap with PMs and prioritize features.
• Lead system architecture across optical, electrical, mechanical, firmware, and edge compute domains.
• Drive on-device and near-sensor compute for real-time perception and data processing.
• Benchmark sensing and edge compute technologies and advise build-vs-buy decisions.
• Mentor engineers and influence across hardware, software, and manufacturing teams.

Skills

Systems engineering leadership

Sensor development

Edge computing

Architecture design

Customer engagements

Mentorship

Education

Bachelor's degree in electrical engineering, computer science, mathematics or physics

Master's degree or above

Job description

Description

We are seeking a Senior Sensor & Compute System Engineer to join the Matrix team at Amazon Robotics. This is a cross-disciplinary Subject Matter Expert (SME) role that serves as the technical bridge between customers, product strategy, architecture, and engineering execution - spanning both sensing and edge compute domains. The ideal candidate operates with high discretion in ambiguous environments, drives system-level selections across sensor and compute modules, and influences product direction through deep technical expertise and customer insight. You will own the end-to-end system definition - from customer discovery through sensor-compute architecture trade-offs to strategic advantage positioning - shaping how our next-generation robotic platforms perceive, process, and act on the world around them.

Description

We are seeking a Senior Sensor & Compute System Engineer to join the Matrix team at Amazon Robotics. This is a cross-disciplinary Subject Matter Expert (SME) role that serves as the technical bridge between customers, product strategy, architecture, and engineering execution - spanning both sensing and edge compute domains. The ideal candidate operates with high discretion in ambiguous environments, drives system-level selections across sensor and compute modules, and influences product direction through deep technical expertise and customer insight. You will own the end-to-end system definition - from customer discovery through sensor-compute architecture trade-offs to strategic advantage positioning - shaping how our next-generation robotic platforms perceive, process, and act on the world around them.

Key job responsibilities

• Customer Engagement & Strategic Requirements Definition: Own the customer relationship as the senior technical point of contact. Steer discovery engagements, identify unmet needs, and translate complex customer problems into system-level requirements spanning sensing and compute that drive multi-generational product strategy. Influence customer roadmaps and establish trusted advisor relationships.
• Product Strategy & Roadmap Ownership: Collaborate with and influence product management to define the sensor and compute product roadmap. Drive prioritization selections based on synthesized inputs from customer feedback, competitive intelligence, technology readiness, and business impact. Proactively identify gaps and opportunities across sensing and edge processing capabilities.
• Sensor & Compute System Architecture Leadership: Own system architecture selections across optical, electrical, mechanical, firmware, and edge compute domains. Define how sensor data is captured, processed, and delivered at the edge - driving trade-offs between compute performance, power, latency, thermal constraints, and cost. Define interface specifications and ensure designs meet scalability and manufacturability requirements across sensor-compute module boundaries.
• Edge Computing & Data Processing Strategy: Drive the architecture for on-device and near-sensor compute modules that enable real-time perception, sensor fusion, and data processing at the edge. Evaluate compute platforms, SoCs, and processing pipelines to ensure sensor data is transformed into actionable intelligence within system latency and power budgets.
• Technology Benchmarking & Market Intelligence: Oversee market analysis and technology scouting efforts across sensing and edge compute. Establish benchmarking frameworks, evaluate emerging sensor technologies and compute architectures (e.g., vision processors, neural accelerators, low-power SoCs), and deliver strategic recommendations to stakeholders on build-vs-buy and technology investment selections.
• Technical Risk Identification & Mitigation: Proactively identify systemic technical problems that impact customer enablement across sensing and compute programs. Develop mitigation strategies, drive cross-functional alignment on risk trade-offs, and communicate technical constraints and opportunities to senior stakeholders with clarity and conviction.
• Cross-Functional Influence & Mentorship: Operate as a multiplier across hardware, firmware, optical, mechanical, electrical, software, test, and manufacturing teams. Influence without authority to align stakeholders on sensor-compute integration requirements and priorities. Mentor junior engineers, raise the technical bar through design reviews, and contribute to hiring and team development.

Amazon offers a full range of benefits to support you and eligible family members, including domestic partners and children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

Basic Qualifications

• Bachelor's degree in electrical engineering, computer science, mathematics or physics
• Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience leading and influencing your team or organization
• Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps
• 8+ years of experience in systems engineering, sensor development, edge computing, or related technical roles
• Proven track record of leading customer-facing technical engagements and translating ambiguous needs into actionable engineering requirements
• Deep understanding of sensor technologies (imaging, depth sensing, LiDAR, ToF, or similar) combined with knowledge of edge compute architectures, embedded processing, and real-time data pipelines

Preferred Qualifications

• Master's degree or above in engineering, physics, or equivalent
• Experience in product or program management, product marketing, business development or technology
• Experience mentoring or training the engineering community on complex technical issues