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TOMORROW HIRE

AI-powered healthcare and government recruitment

Wearables Technical Lead / Lead Systems Engineer

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-time$150k - $200k /yr

About the Job

Requirements

  • At least 8 years of systems engineering experience, including ownership of the technical baseline on at least one complex program.
  • Demonstrated experience serving as a Lead Systems Engineer, Chief Engineer, Technical Lead, or equivalent.
  • Hands-on experience integrating commercial mobile, Internet of Things, wearable, or connected-device technologies with secure enterprise or cloud systems.
  • Working knowledge of Department of War cybersecurity requirements, including Risk Management Framework, Authority to Operate processes, encryption, and secure system architecture.
  • Experience leading system architecture, interface management, integration testing, verification, and technical risk resolution.
  • Ability to lead multidisciplinary engineering teams and partner organizations while maintaining accountability for technical outcomes, including coordinating cross-vendor technical integration and execution across device vendors, application developers, cloud engineering, and cybersecurity teams.
  • Clear technical writing for government stakeholders, including requirements, verification evidence, and formal technical responses.
  • Evidence-based engineering judgment, including distinguishing verified findings from assumptions and closing gaps through testing and documented evidence.
  • Experience managing technical change control, configuration baselines, and traceability from requirements through verification on fixed-price or similarly controlled delivery programs.

Responsibilities

  • Lead system architecture, requirements decomposition, interface design, engineering trade studies, and technical baseline management for secure wearable device integration.
  • Direct integration of wearable fitness device technology with secure back-end systems, data services, identity infrastructure, and mission applications.
  • Establish engineering standards, verification approaches, configuration management practices, and technical risk mitigation plans.
  • Work with cybersecurity and Risk Management Framework teams to implement appropriate authentication, encryption, data protection, and authorization controls.
  • Lead engineering coordination across the wearable fitness device vendor, application development, cloud, and cybersecurity teams, subcontractors, and government stakeholders, ensuring clear technical ownership and timely resolution of integration issues.
  • Oversee system integration testing, technical readiness reviews, pilot deployment support, and incorporation of lessons learned into future increments.
  • Use approved artificial intelligence and automation tools to improve engineering analysis, testing, integration, and troubleshooting while validating results and protecting sensitive information.

Desired Qualifications

  • Experience supporting Department of War programs.
  • Experience supporting U.S. Space Force or Department of the Air Force programs.
  • Experience with wearable fitness device vendors or comparable commercial wearable ecosystems.
  • Expertise in mobile device security, edge-to-cloud integration, connected-device data pipelines, or secure device management.
  • Experience with Model-Based Systems Engineering, digital engineering, or relevant systems engineering certifications.
  • Experience transitioning prototypes into government operational pilots.
  • Professional experience with, or a demonstrated personal interest in, health and fitness, physiological monitoring, and wearable technologies.
  • Ability to obtain a government security clearance if required.

About the Company

TOMORROW HIRE

AI-powered healthcare and government recruitment

Tomorrow Hire provides AI-assisted recruitment tools for the healthcare and government contracting sectors. Its platform combines AI-driven candidate screening, tailored interview questions, and thorough background checks to speed up hiring while ensuring candidate reliability. How it works: clients share job requirements; the AI analyzes applicants, generates role-specific interview questions, and checks credentials, with human recruiters reviewing results to finalize hires. The service prioritizes data security and compliance with data transfer laws. Differentiation comes from a clear focus on healthcare and government, targeting small teams, blending machine intelligence with human expertise, and offering a referral program for adding new clients. The goal is to make the hiring process smarter, faster, and more efficient for its customers.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Great Falls, MT
Founded
2024

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