美图Hardware Optical Engineer

Role： Tesla Energy is looking for a motivated Firmware Integration Engineer to bring the next generation of Residential and Industrial charging products to the market. As a member of the Firmware Integration team, you will be responsible for delivering high quality firmware, software, and hardware to the manufacturing line. You will architect the software solutions for manufacturing quality Energy products (e.g. Powerwall, Megapack) in our factories. Rethink manufacturing processes and test equipment dependency with our in-house product and design teams. Engineer a software stack capable of ultra-high volume production capacity across our entire supply chain. Ensure flexibility within our product design and manufacturing test functionality to achieve critical business objectives. You will have the opportunity to solve challenging problems on the production line and in the field. Collaborate closely with hardware, manufacturing, and service engineering to design firmware and automation solutions for a seamless commissioning experience. You will show outstanding organizational and communication skills and an eagerness to learn in an ever-evolving environment. Manage your projects with a positive attitude and be a team player in a collaborative work environment. Responsibilities： · Develop, enhance and debug new and existing software in C, Python, or Golang. · Perform hardware and firmware integration of current and next generation Tesla charging systems. · Author product test specification of home and commercial charging products for optimal coverage at each step in the assembly process. · Design robust and exhaustive test procedures for high voltage power electronics, battery modules, thermal systems, and solar product assemblies. · Contribute to software architecture design, development of software applications, and integration into manufacturing processes and production lines. · Track and communicate project status and risks to the wider organization. Interact with engineers from multiple teams. · Hands-on with hardware bring up, debug issues and devise solution paths. · Provide technical and leadership excellence for the team. You will make critical decisions and lead from the front with support from experienced engineers. · The position duties may require travel to Tesla and/or supplier factories.

THE ROLE Come join Tesla Sensing Team! We develop state-of-the-art sensor technologies and solutions that enable the best customer driving experiences. You will have an opportunity to participate in conceiving, modeling, and prototyping new sensor solutions. You will be able to learn how a brilliant idea is taken from proof-of-concept to product launch. If you are a self-driven and hands-on individual, we welcome you to this creative and fast-paced environment! RESPONSIBILITIES Drive the design and execution of sensing subsystems through the following: Distill sensor product requirements into constraints and actionable engineering systems design discussions. Host cross-functional sensor design discussions with electrical, software, manufacturing, mechanical design, and service teams. Translate sensor design discussions into design documents in the form of system block diagrams, functional requirements, and performance requirements. Define sensor hardware and software interfaces. Support early sensor prototype development to de-risk new technologies. Define an integration test plan for sensing hardware products or software features with integration milestones that focus on de-risking product or feature deployment and align with the program timeline. Execute initial sensor bring-up and integration testing at the vehicle level to validate system design assumptions. Perform change impact analysis for change requests by summarizing impacted devices, interfaces, and processes in the hardware and software domain. Ensure sensing system is characterized across a host of environments. Support system validation teams in developing electrical and software test plans. Statistical analysis of manufacturing and user data to quantify performance of the sensor in system and vehicle level.

As a Senior Optics Design Engineer, you will engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products. You will work closely with an internal interdisciplinary team, and outside partners to drive key aspects of product definition, execution, and test. You must be responsive, flexible, and able to succeed within an open collaborative peer environment. In this role, you will: • Work with a component engineering team and product engineering team to provide rapid prototyping and characterization of optics or imaging systems • Provide support for modelling and design for prototyping and manufacturing of lightguides and lenses. • Use software tools (LightTools, Zemax etc.) to model system optics characteristics • Work with cross-functional team to draft component specification, design reviews, work with vendors to manufacture parts and validate results by specifying test parameters and methodologies • Communicate and manage overseas component manufacturing vendors A day in the life As a senior optical design engineer, the day begins with reviewing simulation results from the latest lens design iteration. I analyze optical performance metrics like sharpness,aberrations and image quality, ensuring the design meets specifications. Meetings with cross-functional teams follow, where we discuss project timelines, material constraints, and integration challenges. Afternoons are spent refining models in Zemax or CODE V, testing prototypes, or collaborating with the manufacturing team to ensure seamless production. Occasionally, I mentor engineers, reviewing their work and offering guidance. The day wraps up with documenting progress and planning next steps for future optimizations.

- As an AIML Specialist Solutions Architect (SA) in AI Infrastructure, you will serve as the Subject Matter Expert (SME) for providing optimal solutions in model training and inference workloads that leverage Amazon Web Services accelerator computing services. As part of the Specialist Solutions Architecture team, you will work closely with other Specialist SAs to enable large-scale customer model workloads and drive the adoption of AWS EC2, EKS, ECS, SageMaker and other computing platform for GenAI practice. - You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage AI Infrastructure on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures. - You must have deep technical experience working with technologies related to Large Language Model (LLM), Stable Diffusion and many other SOTA model architectures, from model designing, fine-tuning, distributed training to inference acceleration. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of Nvidia and related technical options, and will leverage this knowledge to help Amazon Web Services customers in their selection process. - Candidates must have great communication skills and be very technical and hands-on, with the ability to impress Amazon Web Services customers at any level, from ML engineers to executives. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovations.