דרושים Digital Performance Analyst Energy Platforms ב-Tesla ב-United States, Austin

• 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

• Analyze data to find equipment malfunctions and monitoring problems of energy products
• Read and evaluate the financial performance guarantees in Tesla’s portfolio
• Create reports, presentations, and graphs to show performance, status, problem histories, etc.
• Investigate and explain discrepancies in historical data as well as energy models
• Evaluate issues at individual and portfolio installations and create and implement action plans
• Contribute to creating, developing, and implementing operating procedures / protocol
• Take on and collaborate on projects

• Bachelor's Degree in Engineering, Mathematics, Computer Science, or equivalent experience
• Demonstrable data analysis and data interpretation skills and mathematical prowess
• Experience working with and analyzing large data sets
• Proficiency in Microsoft Excel or similar spreadsheet software - expect test during interview
• Excellent written and verbal communication skills required (e.g., procedures/instructions)
• Grasps basic concepts of electricity (AC/DC, current, voltage, resistance, power vs. energy, etc.) and has general familiarity with solar production estimation
• Preferred: Can write SQL queries and knowledge of energy generation systems and/or solar energy modeling

• Manage the project cycle for Utility Projects and oversee all field teams and installation
• Communicate with client on contractual obligations, schedules, milestones, change orders, documentation and required submittals
• Define elements of work and develop scope of work for subcontracts and manage bid process for subcontracted work
• Interact with a diverse team to communicate status updates and identify potential risks in project plan

• Degree in Electrical Engineering, Mechanical Engineering, Construction Science, a related field, or equivalent in experience
• 5+ years of construction project management experience, with 2+ years within the battery energy storage industry
• Extensive knowledge of general construction methods, electrical (LV, MV, & HV) construction means and methods
• Ability to read and understand design and construction drawings
• Knowledge of construction contracts, subcontracts, and the bid management
• Excellent ability to manage critical path, schedule optimization, and budget on multiple projects
• Exceptional communication, negotiation, and leadership skills
• Working knowledge of IRA and associated compliance obligations
• Certified Project Manager (CPM) certification preferred
• Proficient computer skills with MS Office (Outlook, Word, Excel, SharePoint) and MS Project experience strongly preferred

• Lead the design and development of cutting-edge manufacturing processes that enable high-volume production of products with improved quality, reduced costs, and increased efficiency
• Deploy manufacturing processes and equipment to high-volume production, through rigorous tool qualification, process documentation, and training
• Ramp processes to meet high-volume production targets including cycle time, availability, yield, quality, and reliability, and driving a culture of continuous improvement
• Apply a range of manufacturing techniques, including fastening, welding, brazing, soldering, adhesive bonding, and other joining methods, and quality assurance methods such as vision inspection, leak testing, and electrical testing, to ensure products excellence
• Lead cross-functional teams and coach other engineers to tackle complex problems, using rigorous problem-solving methods, data-driven decision making, and collaborative leadership to drive results

• 8+ years of experience as a manufacturing engineer or similar, with direct responsibility for developing, deploying, ramping, and optimizing complex assembly processes in automated high-volume production environments
• Experience providing technical leadership and guidance, with the ability to mentor and lead small teams to drive process improvements and achieve production goals
• Proven ability to lead process improvements using lean and six sigma principles, with proficiency in tools such as DMAIC, Root Cause Analysis (RCA), Design of Experiments (DOE), Failure Mode and Effects Analysis (FMEA), Process Capability Analysis (PCA), statistical process control (SPC), and Kaizen
• Strong data-driven decision-making skills, with proficiency in data querying, analysis, and visualization using tools like MySQL, Python, R, JMP, or Tableau to drive business results
• Degree in Mechanical Engineering, Industrial Engineering, or a related field, or equivalent experience

• Build and implement scalable, world-class employment policies and programs that balance legal risk with business impact. Help craft internal guidelines, procedures, change management processes and communications
• Lead and collaborate with cross-functional partners in Legal, Government Relations, EH&S, Finance, and HR on complex projects to sustain and enhance employment law compliance across multiple jurisdictions
• Monitor the complex and rapidly changing network of federal, state, and local employment laws and regulations, spot compliance issues, propose and then implement solutions
• Partner with applicable HR teams – Total Rewards, Compensation, Recruiting and People Operations – to identify possible process changes needed because of new or modified policies
• Drive investigation, training, guidance and change management for HRC initiatives and projects
• Investigate, root cause and problem solve people-related issues in collaboration with the Employee Relations team
• Incorporate compliance, operational efficiency, and usability into suggested process changes

• Minimum 5 years of HR compliance related experience; includes general HR, employee relations, employment law, paralegal experience
• Experience with federal and state employment laws and regulations including Title VII, FEHA, ADA, ADEA, Family Medical Leave Act, California Family Rights Act, OFCCP, other EEO laws, wage and hour laws, and other federal and local laws affecting the employer-employee relationship
• You can work both autonomously and collaboratively, and you will be effective at juggling and prioritizing multiple competing tasks in a fast-paced, challenging environment
• Experience advising and finding creative solutions for wage and hour issues arising from both exempt and non-exempt workforces
• Experience with ADA Title I reasonable accommodations
• Experience with employee investigations

• Develop performance models and simulation tools to evaluate hardware architectures for machine learning workloads
• Analyze and optimize neural network performance on current and next-gen AI accelerators
• Collaborate with hardware architects and software teams to identify bottlenecks, propose architectural improvements, and validate design trade-offs
• Create benchmarking frameworks to assess performance, power, and latency of ML workloads
• Conduct pre- and post-silicon performance analysis to correlate models with real-world hardware behavior
• Drive hardware-software co-optimization by translating neural network trends into architectural requirements
• Document and communicate findings to cross-functional teams to guide future hardware roadmaps

• Engineering degree in Computer Engineering, Electrical Engineering, Computer Science, or related field or equivalent experience
• 3+ years of industry/research experience in performance modeling, hardware architecture, or ML acceleration
• Strong understanding of AI accelerators, GPU/CPU architectures, memory hierarchies, and parallel computing
• Proficiency in Python/C++ for modeling, analysis, and automation; familiarity with ML frameworks
• Knowledge of neural network architectures and their computational demands
• Proven ability to work with hardware/software teams to translate algorithmic needs into hardware features
• Clear documentation and presentation skills for technical and non-technical stakeholders
• Knowledge of compiler optimizations or ML graph lowering is a plus

Lead the development and deployment of cutting-edge assembly and test processes for new manufacturing lines in Austin, TX. Driving high-quality and efficient production of power electronics for our cars and energy products. We're looking for a skilled Manufacturing Engineer who can design, develop, and implement innovative manufacturing processes that meet our high-volume production targets.

• Design and develop cutting-edge manufacturing processes that enable high-volume production of products with improved quality, reduced costs, and increased efficiency
• Deploy manufacturing processes and equipment to high-volume production, through rigorous tool qualification, process documentation, and training
• Ramp processes to meet high-volume production targets including cycle time, availability, yield, quality, and reliability, and driving a culture of continuous improvement
• Apply a range of manufacturing techniques, including fastening, welding, brazing, soldering, adhesive bonding, and other joining methods, and quality assurance methods such as vision inspection, leak testing, and electrical testing, to ensure products excellence
• Lead cross-functional teams to tackle complex problems, using rigorous problem-solving methods, data-driven decision making, and collaborative leadership to drive results

• 2+ years of experience as a Manufacturing Engineer or similar, with direct responsibility for developing, deploying, ramping, and optimizing complex assembly processes in automated high-volume production environments
• Experience with lean and six sigma principles, including proficiency in tools such as DMAIC, Root Cause Analysis (RCA), Design of Experiments (DOE), Failure Mode and Effects Analysis (FMEA), Process Capability Analysis (PCA), statistical process control (SPC), and Kaizen
• Proficiency in data querying, analysis, and visualization using tools like MySQL, Python, R, JMP, or Tableau to make data-driven decisions and drive business results
• Degree in Mechanical Engineering, Industrial Engineering, or a related field, or equivalent experience