{"id":624134,"url":"https://alion.io/job/fieldai-senior-software-engineer-multiagent-simulation","title":"Senior Software Engineer, Multiagent Simulation","company":{"id":672883,"name":"FieldAI","domain":"fieldai.com","url":"https://alion.io/company/fieldai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":81,"open_postings":104,"ghost_share":0.231,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Isaac Sim","optional":false},{"name":"MuJoCo","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Sim-to-Real","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-09-09T22:58:50Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-30T17:17:31Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":49},"description":"FieldAI is seeking passionate engineers to play a vital role in the development of multi-robot simulation and fleet orchestration. You will work with a focused team in a fast-paced environment to build simulation environments where robots operate, coordinate, and adapt together in realistic scenes, enabling the company to develop and validate fleet orchestration strategies at scale before deployment. The ideal candidate will have a solid understanding of robotics simulation and multiagent fundamentals along with the practical skills to deliver high-quality, maintainable code on a small, focused team.\nWhat You Will Get To Do\nArchitect high-fidelity multi-robot simulation scenes (terrain, sensors, dynamic obstacles) and scale from single-agent tests to fleet scenarios.\nIntegrate physics, perception, and comms models so agents behave realistically at fleet scale.\nImplement and evaluate fleet-level task allocation, coordination, and planning inside simulation.\nBuild declarative mission tooling to run thousands of orchestration experiments and profile performance across latency, heterogeneity, and environment complexity.\nCalibrate simulation to real-world telemetry with field teams and reduce the sim-to-real gap.\nBuild domain randomization, scenario generation, and automated regression/benchmark gates for fleet orchestration releases.\nDesign logging, metrics, and visualization so every run yields actionable data and fleet KPIs (throughput, collisions, comms overhead, idle time).\nMaintain reproducible experiment infrastructure with versioned scenes, configs, and results.\nPartner with perception, planning, learning, DevOps, and infrastructure teams to run large-scale simulation and raise standards for fidelity, coverage, and release quality.\nWhat You Bring\nMS or PhD in Computer Science, Robotics, Aerospace, or a related field (or equivalent industry experience).\n7+ years hands-on experience building simulation environments for robotics or autonomous systems.\nProficiency in Python and C++; comfort reading and extending large codebases.\nWorking knowledge of robotics simulation engines (e.g., MuJoCo, NVIDIA Isaac Sim, Genesis).\n Experience with multi-robot or multi-agent systems: task allocation, distributed planning, swarm coordination, or fleet management.\nFamiliarity with standard robotics middleware.\nStrong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams.\nAbility to translate research into practical, field-deployable systems.\nWhat Will Set You Apart\nPublications or open-source contributions in multiagent systems, multi-robot planning, or fleet coordination (ICRA, RSS, IROS, AAMAS, CoRL).\nExperience with domain randomization, synthetic data generation, or sim-to-real transfer at scale.\nBackground in distributed systems or cloud-based simulation orchestration.\nHands-on work with real robot fleets in field environments (e.g., construction, mining, logistics, defense).Contributions to open-source robotics or simulation 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