{"id":176451,"url":"https://alion.io/job/gridmatic-power-systems-research-scientist","title":"Power Systems Research Scientist","company":{"id":63435,"name":"Gridmatic","domain":"gridmatic.com","url":"https://alion.io/company/gridmatic","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":87,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cupertino, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Python","optional":false},{"name":"JAX","optional":true},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2026-06-18T22:53:43Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-19T03:33:13Z","board_verified":true,"closed_at":null,"days_open":122,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":122},"description":"The Role\nWe are looking for a Power Systems Research Scientist to develop physics-based models of large-scale transmission systems and their impact on electricity markets.\nYou will work on large-scale optimization and simulation problems, including power flow, congestion, and security-constrained unit commitment and economic dispatch (SCUC/SCED). This role focuses on designing scalable algorithms and high-performance implementations for solving complex power system problems.\nThis role sits at the core of our research and trading stack, building models and computational tools that directly impact how we understand and operate in electricity markets.\nWe are particularly interested in rethinking power system optimization and simulation using modern computing (e.g., GPU acceleration).\nWhat you'll do: \nDevelop and analyze power network models, including AC/DC power flow, contingency analysis, and security constraints\nBuild and enhance large-scale optimization models (e.g., SCUC/SCED) with detailed transmission constraints\nDesign and implement scalable algorithms and solver components for large-scale power system optimization\nIdentify and address computational bottlenecks in network-constrained simulations and optimization\nModel and analyze congestion and transmission-driven market outcomes\nSimulate grid scenarios with high penetration of renewables, storage, and outages\nCollaborate with ML and trading teams to integrate network-aware signals into forecasting and decision systems\nQualifications:\nAdvanced degree (MS/PhD) in Electrical Engineering, Power Systems, or related field\nStrong background in power systems analysis and modeling\nExperience with power flow (AC/DC), transmission modeling, and congestion analysis\nFamiliarity with ISO/RTO markets and network-constrained market outcomes\nExperience with optimization algorithms and large-scale mathematical programmingUnderstanding of numerical methods for convex and/or non-convex optimization\n\nStrong programming skills in Python\nNice to Have: \nExperience with tools such as PSS/E, PowerWorld, PSLF, or similar\nFamiliarity with SCUC/SCED implementations\nBackground in electricity market modeling or trading\nExperience working with large-scale datasets and cloud applications\nFamiliarity with key power systems concepts such as PTDFs (power transfer distribution factors) and security constraints\nExperience with GPU-accelerated computing for large-scale optimization or simulation\nExperience with frameworks such as PyTorch or JAX for high-performance numerical computing\nTaking care of you today:\n- Continuing Education Opportunities\n- Flexible PTO\n- Medical, Dental and Vision plans with competitive employer contributions\n- Pre-Tax commuter benefits\n- $1500/year non profit donation matching program through Millie\n- Home Office Stipend\nProtecting your future for you and your family:\n- 401K contribution match up to 4%\n- Company-paid parental leave\n- Company Paid Life Insurance\n- Stock Option Loan Program\nPay range\n$175,000—$270,000 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