Senior Algorithm Engineer, Energy Optimization Specialist

3 days ago


Palo Alto, California, United States Tesla Full time
Job Description

At Tesla, we're accelerating the world's transition to sustainable energy by maximizing the value of storage and renewable assets. As a Senior Algorithm Engineer, you'll play a critical role in developing and implementing advanced algorithms that optimize our energy solutions.

Key Responsibilities
  • Develop and implement sophisticated optimization algorithms for energy storage and distribution
  • Design and create new customer-facing features to enhance user experience
  • Apply machine learning techniques to improve load and solar forecasting
  • Define, develop, and maintain monitoring and simulation systems to proactively identify and diagnose performance issues
  • Oversee the complete software deployment lifecycle, including writing production-level code, conducting comprehensive testing and validation, and managing the deployment process
  • Collaborate with cross-functional teams to seamlessly integrate algorithms into Tesla's ecosystem
  • Perform rigorous testing and validation to ensure the accuracy and robustness of solutions
  • Clearly communicate complex technical concepts and results to non-technical stakeholders
  • Provide technical insights to guide product development and support business development strategies
Requirements
  • Degree in Mathematics, Statistics, or a related field with a focus on numerical optimization, operations research, or equivalent experience
  • Strong proficiency in Python and Linux environments; additional expertise in Go and Rust is highly valued
  • Proven experience in developing real-world products and solutions using numerical optimization techniques such as LP, MILP, and nonlinear optimization, with expertise in solvers like Gurobi, XPRESS, GLPK, or CPLEX
  • Background in researching, developing, and deploying innovative algorithmic strategies for novel optimization challenges, including decision-making under uncertainty, scenario optimization
  • Experience in machine learning, time-series forecasting, and analysis
  • Experience with battery control systems or similar control technologies
  • Demonstrated experience in deploying code to production environments
  • Familiarity with cloud and big data technologies, including Spark, Airflow, AWS, Docker, and Kubernetes
  • Excellent communication skills with the ability to thrive in a team-oriented environment
  • Experience in sustainability and clean energy solutions
Benefits
  • Competitive pay
  • Aetna PPO and HSA plans
  • Family-building, fertility, adoption, and surrogacy benefits
  • Dental and vision plans
  • Company-paid Basic Life, AD&D, short-term and long-term disability insurance
  • Employee Assistance Program
  • Sick and Vacation time
  • Back-up childcare and parenting support resources
Voluntary Benefits
  • Critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program


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