Sensing Systems Engineer

About the role

Sesame is developing new consumer wearables whose purpose is to enrich the human-computer interface with novel interaction modes, including the use of new and available sensor systems. We are looking for a Systems Engineer to own the holistic performance of Sesame’s devices across the full stack—from hardware selection and integration through firmware, signal processing, and application behavior.

Responsibilities

• Sensing Architecture: Research, evaluate and recommend optimal sensor technologies and devices for various wearable applications, taking into account physical, electrical, and software capabilities along with cost, schedule, and user impact.
• End-to-end Performance: Own the end-to-end performance of Sesame devices’ sensor systems from prototyping to mass production, including latency, power consumption, thermal constraints, and reliability.
• System Requirements & Test: Champion a high quality user-experience by defining system-level test plans and acceptance criteria and detailed, actionable specifications for designing and validating each layer of the stack.
• User data collection: Design and supervise a data collection strategy to gather ground-truth data sets necessary for algorithm and model development.
• Algorithm Design: Develop, test, and implement the signal processing, sensor fusion and calibration systems that translate raw sensor data into usable outputs.
• Model-sensor integration: Collaborate with Sesame’s ML team to determine how sensor data improves the quality of Sesame agents’ responses.

Qualifications

• 5+ years of experience in systems engineering, sensor systems, algorithms and/or signal processing.
• Demonstrated experience shipping high-volume consumer products from concept through production, in collaboration with electrical, firmware, and mechanical engineers.
• Background in Sensor Physics: deeply understanding how sensor systems interact with the physical world, and how to design a test plan to isolate specific variables and behaviors in the system.
• Understanding of electro-mechanical integration requirements and limitations of various sensors: Implementation constraints, best practices, areas for optimization
• Strong understanding of embedded systems: SoC architectures, memory management, wireless connectivity, power and thermal management, latency.
• Proficiency in Digital Signal Processing (DSP) techniques: filtering, windowing, feature extraction, and sensor fusion.
• Expert in Python for signal processing, data visualization, and algorithm development.
• Excellent communication skills and ability to drive alignment across multiple engineering disciplines.
• BS/MS in Electrical Engineering, Mechanical Engineering, Physics, or Computer Science (or equivalent experience).

Preferred Qualifications

• Experience with wearable or small-form-factor consumer devices, especially on-device voice, audio, or camera processing pipelines.
• Familiarity with AI/ML workloads on edge devices and their system-level implications (compute, memory, power).
• Hands-on experience porting of algorithms and models to embedded systems, including experience with C/C++.
• Multiphysics / FEA Experience: Proficiency with simulation tools (e.g., COMSOL, ANSYS) to model mechanical-electrical coupling and sensor response.
• Experience with Machine Learning for signal processing.
• Direct experience defining system architecture for a 0-to-1 product.
• Experience in a startup or fast-moving, small-team product environment.

Benefits

• 401 (k) max employer match: 3.5% of compensation
• 100% employer-paid health, vision, and dental benefits for you and your dependents
• Unlimited PTO and sick time
• Flexible spending account with employer matching up to $1,650/year (medical FSA)
• Guardian Employee Assistance Program (EAP)
• Opportunity to share in the company's success with competitive stock options

Pay

Compensation Range: $175K - $280K