{"id":114782,"url":"https://alion.io/job/hammerhead-ai-simulation-engineer","title":"Simulation Engineer","company":{"id":42509,"name":"HammerHead AI","domain":"hammerheadco.ai","url":"https://alion.io/company/hammerhead-ai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Redwood City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":88000,"max_usd":161000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":4330},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Digital Twin","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-05-22T18:12:51Z","employer_posted_date":"2026-05-22","last_verified_at":"2026-10-31T05:10:04Z","board_verified":true,"closed_at":null,"days_open":161,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":161},"description":"About Hammerhead\nWe're unleashing AI with intelligent orchestration while addressing one of the most pressing bottlenecks for AI access to Power. Our cutting-edge platform optimizes data center power infrastructure to maximize AI token generation within existing electrical limits, without requiring new power plants or grid expansions. Our team has optimized over 8 gigawatts of mission-critical power globally, and we're addressing a $64 billion-per-year market opportunity while dramatically reducing the environmental footprint of AI infrastructure.\nAt Hammerhead, you will:\nWork at the intersection of AI, energy, and compute creating the next generation AI infrastructure\nCollaborate with colleagues that are experts in modern RL and AI, IoT and IIoT software, and infrastructure technologies\nContribute to building a more efficient and sustainable future for AI compute.\nJoin a company at the cutting edge of modern data center design and operation\nReceive competitive compensation, equity, and benefits in a high-growth, mission-driven environment.\nLearn from an experienced team that has built and sold startups before\nLearn more about Hammerhead\nThese AutoGrid alums want to change how data centers use power\n\nHow Hammerhead Wants to Rewrite the Economics of AI\n\nNews & Blogs\n\nRole Description\nAs an AI/ML Simulation Engineer, you will build the virtual world where our intelligence is born. You will be responsible for creating and scaling high-fidelity digital twins of physical data center environments. These simulations are the critical training ground for our Orchestrated RL Control Agents (ORCA). Reporting to the CTO, you will model the complex interplay of power, thermal dynamics, and computation. Your work will enable our RL Engineers to safely and rapidly develop control agents that can be deployed with confidence into live, mission-critical facilities.\nKey Responsibilities\nDigital Twin Development: Architect and build high-fidelity, physics-based simulations of data center components, including cooling systems, power distribution units, and server racks.\n\nSimulation Platform Integration: Integrate individual asset models into a comprehensive, scalable simulation platform that represents entire data center environments.\n\nModel Validation: Develop methodologies to validate simulation accuracy against real-world operational data, ensuring our digital twins faithfully represent physical reality.\n\nAI Training Environments: Create and maintain the infrastructure and APIs that allow Reinforcement Learning engineers to train and evaluate control agents at scale within the simulation.\n\nPerformance Optimization: Ensure the simulation platform is fast, scalable, and efficient to accelerate the AI/ML development lifecycle.\n\nQualifications\nDigital Twin Experience: 3+ years of professional experience in developing digital twins or high-fidelity simulations for complex physical systems (e.g., in energy, aerospace, manufacturing, or robotics).\n\nStrong Programming Skills: Proficiency in Python, Go and/or C++ and experience with simulation frameworks or libraries.\n\nPhysics-Based Modeling: Strong understanding of first-principles modeling, with experience capturing the dynamics of physical systems (thermal, electrical, or mechanical).\n\nML/AI Exposure: Familiarity with the lifecycle of machine learning models and experience creating environments for training and testing AI agents.\n\nEducational Background: MS or PhD in a relevant engineering discipline, Computer Science, Math or Physics.\n\nProblem Solver: A practical mindset, able to abstract complex physical interactions into computationally efficient models and troubleshoot discrepancies between simulation and reality.\n\nWhat We Offer\nCompetitive salary, bonus, 401(k) plan and equity in a rapidly growing startup\n\nComprehensive health, dental, and vision coverage\n\nOpportunity to apply the latest AI technologies working with an experienced team\n\nJoin our team to shape the foundation of tomorrow’s AI infrastructure\nVisit our Careers page at (hammerheadco dot ai / careers) to apply","description_format":"text","description_chars":4077,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-09-05T15:06:38Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 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