Datacenter Asset Management Administrator Operations jobs at Tesla in United States, Austin

A strong technical background in diagnosing complex electromechanical systems with heavy software content and deployed in safety-critical applications is required. Experience defining and optimizing processes for a large-scale operation is also critical. You will be responsible for contributing directly to the continuous improvement of our driverless products. This engineer must be passionate about the product, a strong critical thinker, and capable of understanding technical system-level architecture and issues.

• Responsible for creating and improving the tools and processes used for diagnosis and repair of Tesla’s driverless vehicles used as robotaxi’s
• Define the workflow of automated, real-time diagnostics running onboard and offboard the vehicle to direct vehicles to service and inform the necessary repairs
• Create automated diagnostic scripts to analyze vehicle logs, and define and diagnostic procedures to be used by Tesla service technicians
• Collaborate with service technical operations to define repair procedures, including creating necessary software routines to increase repair efficiency
• Conduct analyses to determine cost effective opportunities to rework and remanufacture critical components for re-use within Tesla’s fleet
• Identify and propose product improvements to hardware and software development teams that will increase reliability and uptime, reduce service cost, and minimize time spent in service
• Perform diagnostics on field failures both remotely - looking at data logged by the vehicle – and directly in the field with onboard diagnostic tools
• Coordinate with design and development teams to perform further root cause analysis with component owners where necessary

• Degree in Automotive Technology, Electrical Engineering, Mechanical Engineering, Mechatronics, Computer Science or similar, or equivalent experience
• Experience in automotive industry, technical operations, or technical support of physical products; experience with autonomous vehicles a plus
• Experience testing, validating, diagnosing, and/or designing complex electromechanical system with significant embedded software
• Knowledge of basic vehicle architecture, including CAN; a plus
• Knowledge of software connected devices, especially vehicles, a plus
• Experience with Python preferred; experience with C/C++ a plus
• Experience with data acquisition, analysis, and processing tools, such as SQL, preferred
• Ability to read and interpret electrical schematics
• Demonstrated experience working hands-on with the products; Formula SAE or experience working on personal cars is a plus

• Provide risk management consultation and guidance to relevant Tesla stakeholders
• Ensure compliance with Tesla’s Risk Management and Insurance operating procedures and standard contractual commitments
• Interpret traditional and self-insurance, indemnity and risk of loss language to assist in contractual negotiations
• Process, manage and track certificates or letters of insurances with internal and external stakeholders
• Responsible for surety bond issuance and tracking
• Participate and/or lead trainings relating to risk philosophies, insurance terms and contractual commitments
• Assist the Risk Management and Insurance team on the collection and review of exposure information for insurance purposes

• 5+ years’ experience in corporate risk management, insurance company or insurance broker environment
• Expert knowledge of surety, commercial insurances, insurance contract language, insurance underwriting and claims processing
• Demonstrated experience with large, multinational insurance programs
• Ability to work independently and prioritize workload while meeting required goals and deadlines
• Strong interpersonal skills to influence and communicate effectively with insurance and non-insurance professionals
• Ability to develop strategic relationships and work collaboratively domestically/internationally and must be proficient in the use of computer software (i.e. Microsoft applications: word, excel, PowerPoint)
• Experience in the renewable energy industry and project/construction insurances strongly preferred as well as prior construction insurance experience

• Set monthly goals for used car throughput, quality, and customer satisfaction
• Work with collision field teams, used car sales, supply-chain, logistics, infrastructure teams to strategize on program improvements
• Lead stakeholders and standard for communication, problem-solving, and a positive work environment in areas that touch used-car refurbishment
• Drive continuous improvement in performance, safety, quality, and customer service by partnering with field operations teams
• Establish and execute the strategy for location utilization at hybrid collision repair and refurb locations while enacting strategy to centralize work into refurb hubs
• Manage financials, ensuring goals are met in quality, productivity, and costs, while justifying investments to change refurbishment location footprint
• Act in the best interest of Tesla, promoting the mission, product, and team values

• Proven leadership experience in a collision or reconditioning-focused industry
• Willingness to travel up to 75% across various locations
• Experience leading remote projects
• Strong process and operations experience, especially in fast-paced, technology-driven environments
• Expertise in developing and operating complex processes using lean or other efficiency techniques
• Technical acumen with the ability to understand Tesla products and reconditioning systems
• Valid driver’s license required

The Finance Operation Specialist will report directly to the Finops Supervisor and will assist in the day-to-day activities and various responsibilities pertaining to customer billing, cash application, investigation, reconciliation, and reporting within the organization. The ideal candidate will have at least 3+ years’ experience in a fast-paced environment. The ability to meet deadlines and flexibility in handling changing priorities are essential to be successful in this position. This role can be in our Draper, Fremont or Austin locations.

• Researching and processing incoming requests from internal and external customers
• Analyze and validate customer, product, and pricing data for completeness and accuracy
• Validate and confirm system production data against guaranteed output
• Investigate a resolve issues by reviewing historical transactions, contract data, reverse engineering, and coordination across multiple departments
• Accurate and timely responses to requests from internal customers including accounting, sales, customer care, legal, and senior management
• Create, upload, and modify journal entries into accounting system
• Generate payment requests from several internal departments

• Bachelor’s degree preferred or equivalent experience
• 3+ years of experience in Finance and/or Operations role preferred
• Previous experience with data validation and analysis preferred
• Advanced Excel and SQL skills preferred
• You are a problem-solver, always looking for better ways to get things done
• You’re not afraid of ownership and accountability
• You approach your work with focus on the big picture, always aware of the effects up and down stream

• Mature our Machine Learning Operations Platform and advocate best practices to MLops engineers and design and implement scalable, automated workflows for the complete ML lifecycle
• Maintain Kubernetes-based infrastructure for model training, deployment, and monitoring
• Develop solutions for workload orchestration and time-slicing using tools like Flyteand Ray
• Implement and optimize CI/CD pipelines tailored for machine learning applications
• Leverage GPU capabilities, including MIG, to maximize efficiency for AI/ML workloads
• Set up model monitoring systems to track performance, ensure robustness, and scale workloads as needed
• Collaborate with engineers to build and maintain robust, pipelines for training and inference workflows
• Develop Infrastructure-as-Code (IaC) solutions for deploying and managing cloud/on-prem ML environments
• Design and develop intuitive, user-friendly self-service portals using React to enable data scientists and engineers to manage ML pipelines, monitor models, and access resources seamlessly
• Participate in 24x7 on-call rotation

• Strong hands-on experience with tools and frameworks like Kubernetes, Kubeflow, MLflow, Flyte, / Ray
• Proven experience with React for building interactive web applications, especially self-service portals that enhance the user experience for managing ML pipelines and workflows
• Expertise in MIG, time-slicing, and scaling AI workloads efficiently
• Proficiency in Python, Golang and bash for pipeline development, and automation
• Model Deployment and Serving: Tensorflow Serving, TorchServe, FastAPI, Flask,REST/gRPC on scalable architectures
• Proficiency with Linux fundamentals and performance optimizations
• Experience with configuration management software (Ansible, etc.), systems monitoring & alerting (Prometheus, Grafana, Telegraf, Splunk, etc.)
• Strong analytical and problem-solving abilities to troubleshoot and optimize AI/ML systems
• Ability to collaborate with cross-functional teams, including data scientists, data engineers, and DevOps engineers, to deliver high-quality solutions.Excellent troubleshooting skills in production
• Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Physics or proof of exceptional skills in related field or equivalent experience

• Provide prompt hardware support to reduce downtime and improve end-user satisfaction
• Collaborate with the IT support team to resolve escalated hardware issues efficiently
• Ensure operational continuity to prevent service delays
• Coordinate logistics to ensure timely hardware availability for projects
• Work with procurement teams to track requisitions and verify equipment orders
• Prepare, label, and configure IT assets for deployment
• Conduct periodic audits to identify outdated or underutilized assets
• Maintain accurate inventory records within the asset management database
• Address asset-related tickets, including replacements, upgrades, and transfers
• Track asset ownership and location to ensure accountability

• 3+ years of Asset Managment experience is a must
• 3+ years of experience working within a datacenter environment is a must
• 3+ years of experience in an IT Operations role
• 3+ years of experience in logistics
• Physically able to stand, bend, stoop, climb, reach, and lift up to 50 lbs.
• Ability to navigate ambiguity, work independently under pressure, prioritize, and stay focused in a fast-paced environment
• Excellent attention to detail and process discipline
• Experience with IT Ticketing and Asset Management applications like ServiceNow ITSM, BMC Remedy ITSM or other similar products preferred
• Proficiency with Microsoft Office Suite
• Strong ability to analyze data with In-depth knowledge of IT asset lifecycle

• Develops and administers operating procedures for O&M of utility scale battery storage facilities. Perform regular reviews and updates to operating procedures
• Provide guidance on real time and emergent operational issues and drive prompt resolutions
• Serve as the technical operations subject matter expert for Tesla operated utility scale battery storage facilities and regularly provide operational updates, guidance, and communicate risks to leadership and other stakeholders
• Manage planned and emergent O&M outages and work performed by Tesla and sub-contractors. Review maintenance reports and drive corrective actions
• Schedule and coordinate generation outages between internal and external stakeholders
• Participate in compliance reporting including NERC, FERC, ERCOT, RTO as well as local jurisdiction such as city and county
• Identify plant improvement projects and act as a Project Manager for the execution of approved projects

• Experience in operations of generating assets. Must possess 10 or more years of experience in substation or power generation protective relaying and automation controls, including engineering, maintenance, construction, or operational activities
• Bachelor's Degree in Science, Technology, Engineering, and Math (STEM) discipline or equivalent experience
  
• Knowledge of electric power systems and their operation; electrical devices as used in complex analog and digital control systems; and the functions of the component parts as related to power plant systems and transmission and distribution equipment
• Ability to interpret electrical and mechanical drawings, diagrams, OEM manufacturer's manuals, wiring diagrams, logic diagrams, schematic diagrams, and computer applications. Ability to perform effectively in a NERC CIP and FERC regulated environment
• Knowledge of SCADA systems and basic troubleshooting
• Ability to detect and identify corrective actions for faulty electrical instrument and control device operation; analyze problems involving logic as related to overall control process; and apply electrical theory to practical applications as encountered in substation maintenance; familiarity with Doble and other various test equipment used during substation testing
• Ability to work with minimal supervision and possess effective written and oral communication skills individually and in cross-functional teams; must be flexible to perform full or part-time work hours; commit to long duration jobs; and work in remote locations