WHOOP · 18 hours ago
Engineering Manager, Sensor Intelligence (Edge AI)
Boston, MA
Full-time
Onsite
Senior Level
$150K/yr - $210K/yr
5+ years expWHOOP is on a mission to unlock human performance and healthspan. They are seeking an Engineering Manager, Sensor Intelligence (Edge AI) to lead a team of embedded machine learning engineers in building scalable algorithms for WHOOP wearables, ensuring accurate and efficient performance in real-world conditions.
Consumer ElectronicsFitnessSportsWearablesWellness
Responsibilities
Lead and Develop a High-Performing Team: Manage, mentor, and support Sensor Intelligence Engineers focused on embedded ML, providing regular feedback, coaching, and clear growth paths
Own Edge-Deployed Algorithms: Oversee the design, implementation, and maintenance of machine learning algorithms running on WHOOP’s wearable platform, ensuring they perform reliably on resource-constrained devices
Collaborate with Cross-Functional Partners: Work closely with Data Science, WHOOP Labs, Firmware, Software, and Product to define requirements, integration points, and success metrics for edge-deployed algorithms
Optimize for Performance and Power: Lead the team in balancing accuracy, latency, memory usage, and power consumption, including the use of techniques such as model compression, quantization, and efficient architectures
Champion Engineering Rigor: Establish and uphold best practices for testing, code quality, documentation, and observability for algorithms deployed on embedded platforms
Contribute to Technical Strategy: Help define the roadmap and long-term strategy for edge AI at WHOOP, including platform capabilities, tooling, and approaches for safely updating models in the field
Support Recruiting and Org Building: Partner with recruiting to attract and hire top embedded ML talent, and help shape the culture and operating model of the Sensor Intelligence Group
Qualification
Required
Proven experience as a technical leader managing multiple teams or a growing engineering organization
Experience growing high level individual contributor career growth at the staff level or higher
5+ years of industry experience in signal processing, machine learning, embedded systems, or a closely related field, including 2+ years in a people management or technical lead role with mentorship responsibilities
Strong programming proficiency in C and/or C++, with additional experience in Python or similar languages for prototyping and model development
Hands-on experience developing and optimizing machine learning models or algorithms for embedded, including deployment on devices with limited compute, memory, and power budgets
Proven ability to lead projects end-to-end, collaborating with cross-functional partners and balancing technical tradeoffs against product and business needs
Excellent written and verbal communication skills, with a track record of conveying complex technical topics to diverse audiences and aligning stakeholders around decisions
Passion for building high-performing teams, fostering growth, and creating systems that scale to power WHOOP's mission
Benefits
Competitive base salaries
Meaningful equity
Benefits
A generous equity package
Company
WHOOP
WHOOP is a fitness tech company that offers wearables that track sleep, recovery, and performance.
501-1000 employees
H1B Sponsorship
WHOOP has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (18)
2023 (15)
2022 (5)
2021 (17)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$404.75MKey Investors
SoftBank Vision FundIVPFoundry Group
2021-08-30Series F· $200M
2020-10-28Series E· $100M
2019-11-12Series D· $55M
Leadership Team
Will Ahmed
Founder & CEO
Aurelian Nicolae
Co-Founder & Chief Hardware Engineer
Recent News
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Company data provided by crunchbase