{"id":2963619,"url":"https://alion.io/job/xperteez-technology-control-system-engineer-remote-contract","title":"Control System Engineer, Remote- Contract","company":{"id":4435561,"name":"Xperteez Technology","domain":"xperteez.co.in","url":"https://alion.io/company/xperteez-technology","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"C","optional":true},{"name":"C++","optional":true},{"name":"Embedded C","optional":true},{"name":"ROS","optional":true}],"status":"live","first_seen_at":"2026-10-08T13:54:15Z","employer_posted_date":null,"last_verified_at":"2026-10-08T13:54:15Z","board_verified":false,"closed_at":null,"days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"Role Title: Control System EngineerRole Type: ContractLocation: RemoteRequired Skills:\nPID\n\ncontroller design\n\nPlant modelling\n\nReal system deployment\n\nIn this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for professionals passionate about shipping robust controllers, modeling complex plants, and applying both classical and modern control strategies in tangible environments.\nScope of Work:\nDesign and tune PID and advanced controllers (e.g., LQR, MPC, Kalman Filters) for deployment on physical systems such as robotics, drones, automotive, or industrial hardware.\n\nDevelop plant models from first principles and validate them against empirical data using state-space and transfer function methodologies.\n\nImplement and verify control algorithms in Python using open source toolkits (e.g., python-control, SciPy, CasADi, do-mpc, Julia ControlSystems, OpenModelica).\n\nDocument engineering decisions and control strategies with clear, high-quality written communication, and engage in effective verbal discussions as required.\n\nAnalyze system performance, identify areas for improvement, and iterate on design for optimal real-world operation.\n\nCollaborate remotely with interdisciplinary contributors while maintaining autonomy and technical independence.\n\nPreferred Qualifications:\nBachelor’s degree (or higher) in Control, Electrical, Mechanical, Mechatronics, or Aerospace Engineering.\n\nOver 5 years of hands-on controller design experience post-degree, with proven real system deployment (not simulation-only).\n\nProficiency in building and validating physical plant models using first principles and data-driven methods.\n\nDemonstrated delivery of both classical (PID) and at least one modern control method (LQR, MPC, or Kalman) on real hardware.\n\nFluency in Python for control code development, debugging, and validation using open source stacks.\n\nExceptional written and verbal English communication skills, focused on clarity and precision.\n\nAdditional strengths such as a Master’s or PhD, production MPC with tools like do-mpc or CasADi, Modelica/OpenModelica modeling, Julia proficiency, system identification, embedded C/C++, ROS, nonlinear/robust/adaptive control, or contributions to publications/open source are valued.\n\nOriginally posted on Himalayas","description_format":"text","description_chars":2501,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-20T23:28:15Z"}],"visa":[],"liveness":{"score":65,"band":"ok","label":"Likely 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