Senior Edge Algorithm Integration Engineer

Whoop, Boston, MA

The role

WHOOP is hiring an Edge Algorithm Integration Engineer to join the Edge ML team and bring Sensor Intelligence algorithms from validated reference implementations to production execution on WHOOP devices. You will own the technical path from reference algorithm to edge deployment, translating and optimizing algorithms for embedded hardware, resolving cross-platform dependencies, integrating with firmware and sensor infrastructure, and ensuring implementations preserve expected algorithm performance.

You will work across Sensor Intelligence, Firmware, Edge ML Platform, Mobile, Cloud, and Connectivity teams to enable algorithms to run reliably and efficiently within the compute, memory, latency, and power constraints of WHOOP devices.

All jobs

Senior Edge Algorithm Integration Engineer

Whoop, Boston, MA

Posted pay

$150K–$215K

a year

Compared with similar jobs

This base pay is near the median for senior software engineering jobs in other US places.

Median: $183K a year
Other jobs in the group: 1,503

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: Boston, MA
Work type: Onsite
Level: Senior
Skills in the job text: Python
C++
C
MATLAB
RTOS
TensorFlow
Posted: Oct 6, 2026
Last check: 2 h ago
Job type: Software engineering, Inference & ML systems, ML / AI engineering

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Whoop

Open tech jobs: 57
With posted pay: 96%
Median posted base: $150K–$215K

About Whoop: funding, hiring and pay

Whoop

About Whoop: funding, hiring and pay

Company facts

Money raised: $976MSum of funding rounds on record
Newest round: Series G fundingMar 31, 2026

Funding records can have errors and can be missing. The company page has the links.

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The role

What you need

BS/MS in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience.
Strong C/C++ software development experience with embedded, real-time, or resource-constrained systems, including an understanding of memory management, compute limitations, latency, and power constraints.
Experience porting, integrating, or optimizing signal-processing or machine-learning algorithms for MCU-based, embedded, or edge platforms, including translating implementations from Python, MATLAB, or similar reference environments.
Experience profiling and optimizing embedded software for runtime, memory footprint, computational efficiency, and/or power, with strong debugging skills across algorithm and systems boundaries.
Strong systems thinking and software integration skills, with the ability to understand complex dependencies and collaborate across algorithm, firmware, platform, and other engineering teams to drive technical issues to resolution.
Experience with one or more relevant embedded optimization technologies or techniques, such as DSP optimization, fixed-point implementation, quantization, model compression, ARM Cortex-M, DSPs, NPUs, RTOS environments, CMSIS-DSP/CMSIS-NN, or TensorFlow Lite Micro.
Experience with physiological sensing, wearable devices, time-series sensor data, low-power systems, or establishing functional and numerical equivalence between reference and embedded implementations is a plus.
Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

Senior Edge Algorithm Integration Engineer

The role

Senior Edge Algorithm Integration Engineer

The role

What you will do

What you need

About Whoop

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Company facts

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