Top Systems Engineer Jobs in Boston, MA

Design, implement, test, and refine real-time feedback and adaptive feedforward noise-cancellation algorithms for headphones, earbuds, and automotive applications. Conduct electroacoustic and vibration measurements, analyze results, develop software and validation tools, support legacy algorithms, and collaborate across research and development teams. The role requires embedded algorithm deployment, control theory, adaptive filtering, DSP, MATLAB and Simulink expertise, with occasional customer-support travel.

Lead the design, administration, security, and evolution of Workhuman’s enterprise Apple endpoint environment. Manage JAMF Pro, Apple Business Manager, macOS and iPadOS deployments, identity integrations, endpoint security, patching, software delivery, and lifecycle management. Build automation with scripting, APIs, and Infrastructure as Code; implement zero-touch deployment and Platform SSO; troubleshoot complex issues; and provide technical leadership while partnering with Infrastructure, Security, Workplace Technology, Endpoint Engineering, and Service Desk teams.

Manage WHOOP’s Mac and Windows endpoint fleets throughout the device lifecycle, from deployment through disposition. Engineer MDM, vulnerability patching, security policies, monitoring, observability, reporting, and automation aligned with HIPAA standards and SLA commitments. Reduce support tickets and manual toil, contribute to AI-first IT operations, support large-scale IT implementations, mentor colleagues, and communicate endpoint strategy clearly across technical and business teams.

Lead system architecture and technical strategy for WHOOP wearable hardware platforms. Define requirements, interfaces, architecture documentation, and verification and validation strategies across electrical, mechanical, firmware, sensing, and algorithm teams. Drive technical decisions, design reviews, risk mitigation, supplier and manufacturing collaboration, and product roadmap recommendations. Mentor engineers and establish systems engineering best practices. The role requires up to 15% domestic and international travel and is based in Boston, Massachusetts.

Design, develop, and deploy advanced software systems using systems engineering and MBSE. Derive and document requirements from incomplete software implementations, create SysML models in Cameo, perform capability gap analyses, and maintain traceability across the systems lifecycle. Collaborate with domain experts and software teams on mission planning, ISR management, and decision-support applications. The role requires an active DoD Top Secret clearance with SCI eligibility and supports a hybrid work environment.

Build and deploy AI-native tools, agents, automations, and integrations supporting go-to-market teams. Develop LLM-powered workflows for CRM enrichment, account scoring, deal intelligence, and outreach. Partner with Sales, Marketing, Customer Success, Revenue Operations, Finance, Product, Engineering, and Data teams to define measurable solutions. Own projects end to end, including prototyping, backend services, deployment, monitoring, evaluation, data-quality guardrails, adoption measurement, and continuous improvement across the GTM technology ecosystem.

The Senior Model-Based Control Software Engineer will lead the design and development of advanced control systems for smart household appliances using model-based methodologies, focusing on real-time optimization and collaboration with cross-functional teams throughout the product lifecycle.

The Systems Engineer will provide leadership in designing, integrating, and testing complex aircraft mission systems. Responsibilities include managing requirements, conducting trade studies, and evaluating design alternatives for mission capabilities.

Lead architecture, development, and validation of end-to-end aircraft fuel systems. Drive cross-functional integration, system-level modeling (CFD), verification, supplier qualification, ground and flight test support, anomaly root-cause analysis, and mentor engineering teams while contributing to long-term fuel-system technology roadmaps.

Own and automate internal IT systems: identity and access lifecycle, SaaS administration, macOS MDM, email security, JSM request portal, and AI-enabled internal tooling. Build integrations, automate workflows, enforce governance, support LLM tools, and ensure audit-ready controls while collaborating across teams.

The Principal Model-Based Systems Engineer will lead development programs using MBSE approaches, mentor teams, and implement digital engineering goals, focusing on DoD systems.

The Principal Radar Systems Engineer leads radar system development, collaborates with multi-disciplinary teams, and ensures effective solutions to customer needs while applying systems engineering principles.

Design, build, monitor, and maintain large-scale Linux infrastructure supporting distributed S3-compatible object storage across multi-cloud environments. Responsibilities include kernel and storage optimization, network and hardware troubleshooting, automation with Chef or Ansible, observability, forecasting capacity, technical leadership, project coordination, mentoring, documentation, and on-call support.

The Lead Model-Based Systems Engineer will utilize their expertise in Systems Engineering and MBSE to design, implement, and deploy advanced software systems that address complex defense and national security challenges.

The Lead People Systems Engineer will design AI-first People workflows, build scalable AI systems, and ensure responsible AI practices in HR operations.

Own and deliver Salesforce solutions (Apex, LWC, Flow) and integrations across the GTM stack. Build and maintain the partner portal and payments integrations, ensure secure data flows and platform health, triage high-impact issues, apply engineering best practices, use AI tools to accelerate development, and mentor junior developers.

Maintains and improves large-scale production systems across bare-metal servers, virtual machines, and container platforms. Responsibilities include Linux administration, architecture recommendations, hardware troubleshooting, production deployments, scripting and automation, monitoring, CI/CD, configuration management, technical documentation, and on-call support. The role collaborates with distributed cross-functional teams, uses AI to improve workflows, and requires periodic business travel and government-related background and fingerprint checks.

Design, develop, optimize, and test real-time acoustic signal-processing algorithms for distributed undersea systems. Implement embedded software across low-SWAP, ARM, DSP, and server-class hardware while meeting stringent performance requirements. Collaborate on hardware integration and validation using C/C++, Python, MATLAB, Linux, Git, containers, and Jira. The role requires embedded systems, signal processing, hardware-interface, optimization, and debugging expertise, plus an active security clearance and eligibility for special access programs.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Own and engineer Arcadia's go-to-market technology stack (Salesforce, Planhat, RocketLane), building integrations, automations, and AI agents. Lead platform overhaul, data quality, reporting, deployments, documentation, user enablement, and cross-team partnership to scale Sales, Marketing, and Customer Operations.

Integrate and test advanced RF hardware and software systems in laboratory, software-in-the-loop, and field environments. Develop hardware test sets, test software, plans, and procedures; execute testing against system requirements; document results and metrics; support technical reviews and briefings. Collaborate with development and systems engineering teams to integrate verification artifacts into Digital Engineering and MBSE workflows.

Own and automate end-to-end employee lifecycle and shared IT infrastructure using infrastructure-as-code and SRE practices. Manage ITSM platform and AI-driven virtual agents, build integrations (Okta, Workday, JAMF, Google Workspace, Slack, Zoom, GitLab), instrument metrics, ensure reliability and compliance, and mentor support engineers.

Designs and maintains scalable backend services, APIs, data pipelines, automation, workflows, and business-system integrations. Collaborates with product, data, and internal business teams to deliver reliable technical solutions. Improves system performance, security, reliability, and maintainability; contributes to technical strategy, code reviews, and mentoring junior engineers.

Leads systems engineering for wearable hardware programs, including requirements management, system architecture, interface definitions, verification and validation, technical documentation, design reviews, risk resolution, and cross-functional integration across electrical, mechanical, firmware, signal processing, manufacturing, and product teams. Provides technical leadership and mentorship while collaborating with partners, suppliers, and manufacturers through up to 15% domestic and international travel.

Design, develop, and maintain scalable backend services, APIs, integrations, data pipelines, automation, and workflows for internal business systems. Partner with cross-functional stakeholders to translate business needs into technical solutions. Ensure system reliability, performance, security, and scalability while contributing to technical strategy, code reviews, engineering best practices, mentorship, and process improvement.