Top Engineering Jobs in Boston, MA

As a Backend Software Engineer II, you will develop and maintain member-facing features using WHOOP's AI capabilities, collaborating with cross-functional teams and ensuring high-quality software solutions.

The Senior iOS Engineer will design and implement core iOS platform capabilities, lead technical planning for initiatives, mentor other engineers, and ensure app reliability and performance.

The Senior Reliability Engineer at WHOOP ensures high-confidence hardware launches and sustained product performance by implementing reliability strategies and risk mitigation methods throughout the product lifecycle.

The role involves designing and implementing backend systems, driving initiatives, improving performance and scalability, and mentoring engineers while ensuring collaboration with cross-functional teams.

Design, develop and maintain backend systems for WHOOP's platform, ensuring scalability, security, and performance while collaborating across teams.

Design, execute, and document battery pack and component test plans for validation, qualification, and safety. Collaborate with cross-functional teams and suppliers, support regulatory certifications (UL/CE/IEC), run failure analysis and DFMEA, evaluate lithium-ion performance and manufacturability, and manage supplier testing and verification. Travel to supplier sites as needed (up to 15%).

Lead design, qualification, and lifecycle sustainment of lithium-ion battery systems for WHOOP wearables. Serve as technical lead across teams and suppliers; drive cell design, BMS/fuel gauge optimization, testing (DOE), validation, failure analysis, regulatory compliance (UL/CE/IEC), field quality, and mentoring. Manage timelines, supplier qualification, and battery predictive modeling using machine learning.

Lead design, development, and operation of WHOOP's Kubernetes clusters on AWS. Drive architecture to improve scalability, resiliency, performance, and security across the build/deploy platform. Build tooling for safer, faster Kubernetes deployments, advance CI/CD, mentor engineers, participate in incident response/postmortems, and partner with application, security, and data teams to embed secure-by-default practices and define the long-term infrastructure roadmap.

Lead and manage a cross-functional engineering team in embedded QA, defining technical strategy and fostering a culture of innovation and development.

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.