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Tesla Sr Algorithm Engineer Opticaster 
United States, California, Palo Alto 
172091354

13.08.2024
What You’ll Do
  • 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
What You’ll Bring
  • 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