SERES AUTO_USA · 3 months ago
Senior AI Application Engineer
Milpitas, CA
Full-time
Onsite
Senior Level
5+ years expSF Motors, Inc. (dba SERES) is building the next generation of intelligent robotic systems that integrate control engineering, artificial intelligence, and machine learning. The Senior AI Application Engineer will develop and deploy advanced AI systems, focusing on machine learning, agentic AI, and physics-informed modeling to solve complex engineering problems.
Automotive
Responsibilities
Design, train, and fine-tune machine learning and deep learning models for engineering applications
Implement physics-informed neural networks (PINNs), surrogate modeling, or hybrid AI-physics systems
Develop and apply multi-objective optimization algorithms (e.g., genetic algorithms, reinforcement learning, Bayesian optimization)
Build and integrate AI agents capable of autonomous reasoning, decision-making, and goal-directed task execution in engineering workflows
Employ agentic architectures (e.g., multi-agent systems, LLM-based reasoning agents) for simulation orchestration and design automation
Apply reinforcement learning or control-oriented AI for adaptive engineering systems
Implement scalable inference pipelines for real-time or batch processing in production environments (cloud or edge)
Collaborate with DevOps/MLOps teams to deploy AI models using frameworks like TensorFlow Serving, TorchServe, ONNX, or NVIDIA Triton
Integrate AI systems into engineering tools and environments (e.g., CAD/CAE software, simulation platforms, or digital twins)
Explore novel applications of physics-based AI, agentic reasoning, and self-improving systems within engineering contexts
Stay current with advancements in foundation models, multi-modal AI, and generative design
Contribute to white papers, patents, and internal R&D initiatives
Work closely with domain engineers, data scientists, and software developers to translate engineering challenges into AI-driven solutions
Communicate complex technical concepts to multidisciplinary teams and stakeholders
Qualification
Required
M.S. degree with 5+ years of industry experience, or Ph.D. degree with 3+ years of relevant experience, in Artificial Intelligence, Computer Science, Electrical or Mechanical Engineering, Applied Physics, or a related field
Strong proficiency in Python, and familiarity with PyTorch, TensorFlow, or JAX
Experience with machine learning algorithms, deep learning architectures, and optimization methods
Solid background in numerical methods, physics simulation, or computational modeling
Familiarity with agent frameworks (e.g., LangChain, AutoGen, CrewAI, OpenDevin, or custom LLM orchestration systems)
Proficiency in MLOps, data pipelines, and AI deployment on cloud or edge infrastructure (AWS, Azure, GCP)
Strong analytical thinking, problem-solving, and communication skills
Ability to work in multidisciplinary teams and adapt to evolving technologies
Preferred
Experience with reinforcement learning, evolutionary algorithms, or active learning for design optimization
Background in multi-physics simulation (CFD, FEA, thermal, or electromagnetics)
Prior exposure to generative AI for engineering design or AI-driven control systems
Familiarity with digital twins and real-time sensor integration
Publications or patents in AI for engineering or computational sciences
Benefits
Medical
Dental
Vision
401K match
Free lunch
And more.
Company
SERES AUTO_USA
Headquartered in Silicon Valley with facilities across the world, SERES is uniquely poised to deliver intelligent EVs to a broader market.
51-200 employees
H1B Sponsorship
SERES AUTO_USA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (4)
Funding
Current Stage
Growth StageRecent News
Google Patent
2024-04-14
2024-04-14
2024-04-14
Company data provided by crunchbase