Reliability Engineer

Job Title:

Reliability Engineer Job Description The Reliability Engineer plays a key role in ensuring the reliability, availability, and performance of large-scale robotic fleets operating in production environments. This position focuses on diagnosing and resolving complex system-level issues across robotics software, hardware, controls, perception, and infrastructure, while driving continuous improvements in system robustness, fault tolerance, and scalability. The role requires a strong systems engineering mindset, deep experience in robotics or automation, and a data-driven approach to performance optimization and operational excellence. Responsibilities Identify, triage, and determine root causes of system-level issues impacting large-scale robotic fleets in production environments. Drive improvements in system reliability, availability, and performance across thousands of deployed robots. Define and monitor system performance guardrails tied to customer key performance indicators such as throughput, error rates, recovery time, and uptime. Partner closely with field teams to debug and resolve production issues in live environments. Work across robotics software, hardware, controls, perception, and infrastructure to diagnose complex system interactions. Debug issues spanning embedded systems, distributed services, real-time control loops, and operational workflows. Collaborate with cross-functional teams to implement fixes and long-term solutions that address underlying system issues. Contribute to system design improvements that enhance robustness, fault tolerance, and scalability. Analyze robot logs, telemetry, and diagnostics data to identify failure modes and performance bottlenecks. Build and use tools, including SQL, Python, and dashboards, to investigate trends and validate hypotheses. Develop mechanisms for regression detection, failure trend analysis, and performance monitoring across the fleet. Drive continuous improvement through structured experiments and data-backed decision making. Own key reliability metrics and contribute to improving system observability and debuggability. Document failure modes, lessons learned, and standard operating procedures for efficient issue resolution. Support release validation activities to ensure new changes meet reliability and performance expectations. Act as a technical escalation point for complex system issues requiring deep systems-level investigation. Essential Skills At least 5 years of experience in robotics, automation, or complex distributed systems. Strong systems engineering mindset with hands-on experience in robotics control software, real-time systems, and hardware-software integration. Demonstrated experience in structured root-cause analysis and failure investigation. Proficiency in data analysis and scripting using tools such as Python and SQL. Experience working with logs, telemetry systems, and large-scale operational data. Familiarity with Linux environments for development, debugging, and operations. Experience with version control systems, including Git. Background in reliability engineering, test engineering, and hardware integration. Hands-on experience with robotics controls and real-time operating systems (RTOS). Proven ability to debug complex systems and perform detailed root cause analysis. Experience in software troubleshooting and system validation in production environments. Strong problem-solving skills and ability to work across ambiguous, cross-functional system boundaries. Experience working in Agile development environments. Additional Skills & Qualifications Experience with test equipment and hardware integration in robotics or automation systems. Knowledge of systems engineering practices and methodologies. Familiarity with failure mode and effects analysis (FMEA) or similar structured reliability techniques. Experience developing or using dashboards and monitoring tools for performance and reliability tracking. Background in integration testing and end-to-end systems debugging. Exposure to operational workflows for large-scale deployed systems, beyond lab prototypes. Ability to collaborate effectively with cross-functional and field teams to resolve complex issues. Work Environment This role operates in a highly technical, production-focused environment centered around large-scale robotic fleets and complex distributed systems. You will work closely with live deployed systems rather than purely lab prototypes, frequently interacting with field teams and cross-functional engineering groups. The environment involves extensive use of Linux-based systems, version control tools such as Git, and data analysis technologies including Python, SQL, logs, telemetry, and dashboards. Work typically aligns with an Agile development framework, emphasizing iterative improvements, structured experiments, and continuous delivery of reliability enhancements. The position requires comfort with real-time control systems, embedded platforms, and distributed services, as well as the ability to support live production systems where reliability, uptime, and performance are critical. Job Type & Location This is a Contract position based out of Wilmington, MA. Pay and Benefits The pay range for this position is $47.00 - $78.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Wilmington,MA.

Application Deadline This position is anticipated to close on May 25, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance:

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.