Benefits:

• Competitive compensation package

• 100% employer-paid medical, dental, vision, and life insurance

• Paid time off and holidays

• 401(k) with traditional and Roth options

• Equity in a rapidly growing company

Education Requirements:

• Bachelor’s degree (minimum) in Mechanical Engineering, Electrical Engineering, or related field.

Experience Requirements:

• 2–5 years of experience in electromechanical or hardware product development.

• Strong CAD proficiency (Fusion 360, SolidWorks, or equivalent).

• Proven DFM/DFA experience and understanding of manufacturing techniques for sheet metal and injection molding.

• Working knowledge of thermal, vibration, and environmental design considerations.

Other Requirements:

• Be a proactive self-starter: take initiative, act with urgency, and bring a scrappy, hands-on approach to problem solving in fast-moving environments.

• Drive execution across multiple workstreams with urgency and accountability.

• Chinese proficiency and experience leading vendor engagement or manufacturing with partners in Taiwan and China.

• Strong hands-on prototyping instincts: you’re quick to translate ideas into physical proofs of concept and iterate fast.

• Demonstrated bias for action and ownership: you naturally take projects from half-baked idea to working hardware without waiting for direction.

Responsibilities:

• Lead the design, development, and validation of electromechanical assemblies balancing performance, manufacturability, and cost.

• Own the full product lifecycle from prototype through EVT/DVT/PVT, vendor handoff, and field deployment.

• Manage vendor and supplier relationships to ensure on-time, high-quality delivery.

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• Expert in React & TypeScript, with strong CSS and responsive design skills.

• Experience with React Query, Storybook, and Material UI (or similar).

• Proven ability to optimize performance and build interactive, user-friendly applications.

• Experience leading large-scale front-end projects and setting best practices.

• Familiarity with backend/cloud technologies (AWS, Python, databases).

Other Requirements:

• Self-driven with a high level of intrinsic motivation to succeed and adapt to evolving requirements; able to work flexible hours to meet deadlines as necessary.

• Excellent verbal and written communication skills to effectively collaborate with cross-functional teams and document technical processes clearly.

Responsibilities:

• Developing high-performance, responsive UIs for seamless user interactions.

• Collaborating with a top team of designers and engineers to create an intuitive, industry-leading product.

• Building and maintaining a scalable component library for a consistent design system.

• Optimizing performance and ensuring maintainability, scalability, and code quality.

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning)

• Comfortable with productionzing a Pytorch model developed in C++, profiling the model for latency, finding bottlenecks, and optimizing them

• Good understanding of docker and containerization

• Experience with Pytorch and Python3, and comfortable with C++

• Understanding of Torch script, ONNX runtime, TensorRT

Other Requirements:

• You should be a good software engineer who enjoys writing production-grade software.

• Keeping up with the latest in deep learning research, reading research papers, and familiarity with the latest developments in foundation models and LLMs

• Understanding of half-precision inference and int8 quantization

Responsibilities:

• Take an existing open-source Pytorch model, fine tune, productionize them in C++ runtime, and optimize for latency and throughput.

• Take an open-source model and fine-tune them on our in-house data set as needed.

• Design thoughtful experiments in evaluating the tradeoffs between latency and accuracy on the end customer use case.

• Integrate the model with the downstream use case and fully own the end metrics.

• Maintain and improve all existing ML applications in the product