WellNest · 2 days ago
mmWave Radar Algorithms Engineer w/ TI experience
NYC Metro Area
Full-time
Onsite
Senior LevelWellNest is seeking a senior mmWave radar algorithms engineer with deep, hands-on experience with Texas Instruments mmWave radar SoCs. This role is central to product development, focusing on owning the radar perception stack end-to-end, including chip selection and system architecture.
Retail
Responsibilities
Own the design and implementation of mmWave radar perception pipelines for object and weapon detection, from raw ADC data through detection, tracking, and classification
Lead TI mmWave chip selection and roadmap planning, advising on the right SoCs (AWR / IWR / xWR families) based on performance, power, cost, and product timelines
Develop and optimize real-time FMCW / MIMO radar signal processing chains deployed on embedded TI hardware
Build and deploy multi-target tracking systems using advanced estimation techniques (Kalman filtering, JPDA, IMM, EKF/CKF)
Design algorithms that fundamentally reduce false alarms in cluttered, real-world environments
Own bit-exact Matlab ↔ C/C++ frameworks and validate on-device implementations against algorithmic models
Develop internal tooling for radar data capture, calibration, visualization, and labeling, enabling rapid iteration and model training
Collaborate closely with systems, product, and hardware teams to translate sensing requirements into production-ready radar solutions
Qualification
Required
Strong, hands-on experience with Texas Instruments mmWave radar SoCs and SDKs
Deep expertise in mmWave radar signal processing: FMCW, MIMO, DOA, SAR/ISAR, near-field processing
Proven experience shipping real-time radar algorithms on embedded systems under strict latency, power, and memory constraints
Expert-level C/C++ and Matlab (Python a plus)
Strong foundation in tracking, estimation, and sensor fusion (radar-first, camera optional)
Ability to own problems end-to-end, from algorithm design through deployed, validated code
Preferred
Prior ownership of TI radar algorithm stacks, SDK demos, or reference designs
Experience contributing to or maintaining radar algorithm repositories used by multiple customers or products
Development of object classification pipelines for radar (traditional or ML-based) and deployment on TI mmWave devices
Multi-sensor synchronization and fusion (radar + camera + IMU / odometry)
Background in security sensing, automotive radar, robotics, or defense-related perception systems
Company
WellNest
The world‘s first immersive AI-powered mental health experience, to decode how you actually feel.
Founded in 2024
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase