Senior Algorithm Engineer, Energy Optimization Specialist

2 weeks ago

Palo Alto, California, United States Tesla Full time
About the Role

We are seeking a highly skilled Senior Algorithm Engineer to join our team at Tesla, where you will play a critical role in developing and implementing advanced algorithms that optimize our energy solutions. As a key member of our team, you will apply your expertise in optimization, machine learning, and time-series forecasting to craft robust, scalable solutions that advance energy management.

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

As a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • LGBTQ+ care concierge services
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: 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
Expected Compensation

$108,000 - $330,000/annual salary, depending on level + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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