Senior Software Engineer - Vehicle Modeling General MotorsSenior Software Engineer - Vehicle ModelingSunnyvale, CA$129,400–$198,400 / yearBenefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
AI Performance Modeling Engineer QuadricAI Performance Modeling EngineerBurlingame, CA$180,000–$225,000 / yearThe actual base salary offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience, technical skills and competencies, the criticality of the role to the business, internal equity, and work location. We welcome candidates across all experience levels-from early-career engineers to seasoned experts-with direct mentorship provided to help you master mapping complex workloads (like LLMs) onto our custom hardware.
Machine Learning Research Scientist: Generative Modeling For Planning NuroMachine Learning Research Scientist: Generative Modeling For PlanningMountain View, CA$160,360–$240,540 / yearWith years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Research experiences in generative models, particularly diffusion models, flow matching and energy-based models, for robotics, including manipulation, path planning, and autonomous driving.
AI Modeling Engineer Palona AIAI Modeling EngineerLos Altos, CAPalona’s AI agents operate in real restaurant environments: noisy phone lines, varied accents, complex menus, interruptions, incomplete information, strict business rules, and customers who expect an immediate, natural response. You will own problems across model selection and routing, prompting and context, fine-tuning or post-training when justified, speech and language quality, evaluation methodology, dataset development, and model behavior in production.
Research Scientist (Generative Modeling) World LabsResearch Scientist (Generative Modeling)San Francisco, California$250,000–$325,000 / yearYou will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. The company’s flagship product, Marble , transforms text, images, and video into fully navigable 3D worlds, unlocking applications across gaming, film, architecture, robotics, and immersive digital experiences.
AI Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAID Genentech IncAI Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAIDSouth San Francisco, CA$127,500–$236,900 / yearThe new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Connect Molecular and Clinical Data: Create models that link heterogeneous molecular and cellular data with clinical outcomes, specifically focusing on prognostic, predictive, and pharmacodynamic biomarkers.
NewMachine Learning & Data Engineer, Vehicle Modeling 42dotMachine Learning & Data Engineer, Vehicle ModelingSan Francisco, CaliforniaYou will also help build the data and cloud infrastructure needed to ingest, clean, organize, process, and evaluate large-scale vehicle datasets, supporting modeling, simulation, vehicle intelligence, and autonomous driving workflows. A core focus of this role is using real-world vehicle data to identify model performance gaps and improve models through calibration, parameter estimation, machine learning, and hybrid physics-and-data approaches.
Datacenter Compute SoC Performance Modeling Architect MediaTek IncDatacenter Compute SoC Performance Modeling ArchitectSan Jose, CAYou will collaborate closely with CPU/Compute core architects, SoC architects, IP architects, workload characterization teams, and RTL designers to ensure our silicon delivers industry-leading performance-per-watt and scales efficiently to meet the demands of modern hyper-scale infrastructure. Simulator Development: Design, develop, and maintain cycle-accurate and transaction-level performance models (C++/SystemC) for multi-core datacenter SoCs, including CPU cores, memory subsystems, interconnects (NoC), and high-speed I/O (PCIe/CXL).
Sr. Scientist - Translational PBPK Modeling Genentech IncSr. Scientist - Translational PBPK ModelingSouth San Francisco, CAKey technical responsibilities are to strategize, plan, execute, and report PBPK modeling and simulations independently, as well as to present work at cross-functional teams, department meetings, senior management review committees, regulatory interactions, and scientific conferences. The Drug Metabolism and Pharmacokinetics (DMPK) group is dedicated to enabling the discovery, development and commercialization of safe and effective medicines by elucidating the absorption, distribution, metabolism, excretion and pharmacokinetic properties of small molecule drug candidates.
Multimodal Generative Modeling Engineer Apple IncMultimodal Generative Modeling EngineerCupertino, CAAs a multimodal generative modeling engineer in our team, you will be responsible for developing machine learning technologies, implementing and optimizing the solution, and shipping it in the products. This position requires a highly motivated person who wants to help us advance in the development of generative models for image/video generation.
Mixed-Signal Behavioral Modeling Engineer Apple IncMixed-Signal Behavioral Modeling EngineerCupertino, CAExcellent knowledge of digital logic gates, clocking and state elements Excellent knowledge of Verilog/SystemVerilog with ability to write behavioral code Ability to read custom circuit schematics and understand functionality Solid understanding of logic and behavioral simulations Basics of passive and active circuit elements, voltage and current sources, and analog blocks like amplifiers ADCs/DACs/Comparators Basics of SPICE circuit simulations Basics of timing synchronous digital logic Familiarity of writing scripts in PERL/Python and basic algorithms is a strong plus Familiarity with blocks such as PLLs/DLLs/SERDES is a strong plus Basics of digital signal processing and numerical analysis is a plus Basics of probability and statistical basics is a plus. If you are early in your journey towards a chip design career and wish to challenge yourself in a technical and multi-disciplinary effort, come join the Apple mixed-signal silicon design team.
Modeling Coordinator Southland IndustriesModeling CoordinatorUnion City, CA$75,000–$95,000 / yearCandidate ownership can only be established after a bona fide work order is issued by a member of the Southland Industries Talent Acquisition team and the candidate is appropriately submitted through our Applicant Tracking System (ATS). Pay: Final pay is determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.
Solutions Architect - Modeling & Simulation (Defense) Applied Intuition IncSolutions Architect - Modeling & Simulation (Defense)Sunnyvale, CA$175,000–$250,000 / yearYour mission: make the team technically impressive, ensuring every customer conversation, white paper, and proposal is grounded in a credible, differentiated technical narrative that maps Applied Intuition's capabilities to the customer's mission. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C. San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
Computational Neuroscientist, Modeling / Theory Astera InstituteComputational Neuroscientist, Modeling / TheoryAlameda, CaliforniaHands-on experience analyzing large-scale neural datasets from electrophysiology, two-photon imaging, or comparable methods, including high-density recordings such as Neuropixels and modern spike-sorting and quality-control pipelines such as Kilosort. PhD with 3-12+ years of experience in computational neuroscience, neuroscience, physics, statistics, applied mathematics, electrical engineering, computer science, control theory, robotics, or a related field, or equivalent research experience.
NewML Infra Engineer, Modeling Physical IntelligenceML Infra Engineer, ModelingSan Francisco, CaliforniaThe ML Infrastructure team supports and accelerates PI’s core modeling efforts by building the systems that make large-scale training reliable, reproducible, and fast. Own training/inference infrastructure: Design, implement, and maintain systems for large-scale model training, including scheduling, job management, checkpointing, and metrics/logging.
Senior Director, Economic Modeling Revolution Medicines IncSenior Director, Economic ModelingRedwood City, CAThe company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. Partner with Global HEOR & RWE Executive Directors on core health economic modeling plans to support HTA, payer, and other access stakeholder assessments, submissions, negotiations, including associated value/HTA deliverables and publications to meet business and access objectives.
Solutions Architect - Modeling & Simulation (Defense) Applied IntuitionSolutions Architect - Modeling & Simulation (Defense)Sunnyvale, CaliforniaYour mission: make the team technically impressive, ensuring every customer conversation, white paper, and proposal is grounded in a credible, differentiated technical narrative that maps Applied Intuition’s capabilities to the customer’s mission. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C. San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
Full Stack Engineer, Scientific Modeling Tools Terra AIFull Stack Engineer, Scientific Modeling ToolsRedwood City, CaliforniaBacked by leading investors including Khosla Ventures and working alongside strategic industry partners including Rio Tinto, Ero Copper, and Ramaco Resources, Terra AI is emerging as one of the more closely watched AI-native companies operating within the mining and critical minerals sector. As global demand for copper, lithium, nickel, rare earth elements, geothermal energy, and other strategic resources accelerates, the mining and subsurface industries face a growing challenge: traditional exploration methods remain slow, expensive, and highly uncertain.
Principal Risk & Compliance Quantitative and Modeling Analyst - Location Flexible PG&E CorpPrincipal Risk & Compliance Quantitative and Modeling Analyst - Location FlexibleEmeryville, CADevelops and leads compelling data-driven business cases for or against specific courses of action and potential risk mitigation alternatives as appropriate; provides strategic direction regarding areas of NERC compliance in common with CPUC, OEIS, and CAISO. Department Overview: The Electric Risk & Compliance organization provides governance, oversight, and strategic direction on risk and compliance matters across Electric Operations, ensuring alignment with enterprise policies and external/internal regulatory requirements.
Machine Learning Engineer - Multimodal Modeling Stand InsuranceMachine Learning Engineer - Multimodal ModelingSan Francisco, California$250,000–$295,000 / yearYou will own modeling work end-to-end, from architecture and training strategy through evaluation and production deployment, and partner closely with the Platform team to ensure the agentic harness and workflows your models plug into deliver strong results in production. Standing up the training-data pipelines, evaluation harnesses, and production monitoring that take these models from prototype to production, collaborating closely with Applied Science infrastructure engineers to build out proper tooling.