Systems & Integration Engineering Experts (Train AI Models Part Time!)

**Mercor is seeking experienced Systems & Integration Engineers** to support an advanced engineering and AI research initiative with a leading technology organization. We are looking for deeply hands-on engineers who have integrated, tested, validated, debugged, qualified, or analyzed complex real-world hardware and electromechanical systems in production environments. Relevant backgrounds include: - **Systems Engineering** - **Integration & Test Engineering** - **Reliability / Failure Analysis Engineering** - **Manufacturing Test Engineering** This role is particularly well suited for engineers who have worked directly on complex physical products and can bring practical engineering judgment to system integration, verification and validation, reliability, root-cause analysis, manufacturing test, and cross-functional hardware troubleshooting. ### Key Responsibilities - Apply hands-on systems, integration, reliability, and test engineering expertise to technically complex problems involving real physical products and hardware systems. - Review and evaluate **system requirements, interfaces, integration plans, verification strategies, test procedures, qualification approaches, reliability analyses, and manufacturing test workflows**. - Analyze system-level interactions across **electrical, mechanical, firmware/software, thermal, controls, and manufacturing domains**. - Assess the technical correctness and practical feasibility of engineering solutions, test strategies, troubleshooting approaches, and system-level decisions. - Diagnose integration failures and identify **root causes, interface issues, design deficiencies, reliability risks, manufacturing defects, and test coverage gaps**. - Develop or review technically rigorous engineering problems, reference solutions, test cases, verification criteria, failure analyses, and technical documentation. - Draw on practical experience with **prototype integration, bring-up, verification and validation, qualification, environmental testing, reliability testing, production test, and field failure investigation**. - Provide clear technical feedback grounded in real-world hardware development, testing, and production experience. ### You’re a Strong Fit If You Have - **5+ years of professional systems, integration, reliability, or test engineering experience**, including at least **3 years of recent, actively hands-on experience** with hardware integration, test, validation, qualification, failure analysis, manufacturing test, or troubleshooting—not solely program or people management. - Demonstrated experience as the **responsible engineer for complex physical systems or hardware products**, owning meaningful portions of the lifecycle from requirements and interface definition through integration, verification, qualification, production readiness, and field support. - Deep technical expertise in at least one core domain: **systems engineering and requirements/V&V; hardware integration and test; reliability engineering and failure analysis; or manufacturing/production test engineering**. - Strong practical command of **requirements traceability, interface management, verification and validation, test planning, FMEA/FMECA, fault isolation, root-cause analysis, reliability, qualification, environmental testing, design-for-test, manufacturing yield, and system-level failure modes**, as applicable to the candidate's specialization. - Extensive hands-on experience **integrating, instrumenting, testing, debugging, and characterizing physical hardware**, using relevant laboratory equipment, data-acquisition systems, automated test infrastructure, environmental test equipment, diagnostic tools, and structured failure-analysis methodologies. - Proven experience developing and validating hardware in **real-world product or manufacturing environments**, ideally across aerospace/defense, space, automotive/EV, semiconductors, consumer electronics, robotics/eVTOL, industrial/energy, or medical devices—e.g., **Lockheed Martin, RTX, Boeing, Blue Origin, Rocket Lab, Tesla, Rivian, NVIDIA, Qualcomm, Intel, Apple, Google, Meta, Skydio, Shield AI, Joby, Boston Dynamics, Siemens, GE Aerospace, ABB, Medtronic, or Intuitive Surgical**—with the ability to clearly explain system decisions, integration trade-offs, test results, root causes, and failure mechanisms. ### Preferred Background Experience working for a company that **designs, builds, integrates, tests, and manufactures complex physical hardware systems** is strongly preferred. Relevant organizations may include, but are not limited to: - **Aerospace & Defense:** Lockheed Martin, Northrop Grumman, RTX, Boeing, General Atomics, L3Harris, BAE Systems, General Dynamics, Honeywell Aerospace, Textron - **Space:** Blue Origin, Rocket Lab, Relativity Space, Firefly Aerospace, Sierra Space, Astranis, Planet, Maxar, Axiom Space - **Automotive & EV:** Tesla, Rivian, General Motors, Ford, Lucid, Waymo, Zoox, Aptiv, Bosch - **Semiconductors:** NVIDIA, Qualcomm, Intel, Analog Devices, Texas Instruments, Broadcom, Marvell, Micron, NXP, Infineon - **Consumer Electronics & Computing:** Apple, Google Hardware, Meta Reality Labs, Microsoft Devices, Amazon, Samsung, Garmin, Sonos - **Drones, eVTOL & Robotics:** Skydio, Shield AI, Zipline, Joby Aviation, Archer Aviation, Boston Dynamics, Figure, Agility Robotics, Wing - **Industrial, Energy & Medical Devices:** Siemens, GE Aerospace, GE Vernova, ABB, Schneider Electric, Rockwell Automation, Enphase, Medtronic, Intuitive Surgical Candidates from comparable hardware-focused organizations are equally encouraged to apply. ### Why Join - Apply your systems and integration expertise to technically challenging problems at the intersection of **advanced hardware engineering and AI research**. - Work on projects where practical experience with **real hardware integration, verification, reliability, failure analysis, and production testing** is highly valued. - Help improve how advanced AI systems reason about **complex systems, interfaces, verification and validation, troubleshooting, reliability, manufacturing, and hardware failures**. - Contribute remotely with flexible engagement structures alongside experienced engineers and researchers. - Work on problems requiring genuine engineering judgment and hands-on industry experience rather than purely theoretical systems knowledge.