Education Requirements:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field

Experience Requirements:

• 3+ years (Senior: 8+ years) of experience in semiconductor or electronics

• Knowledge of TWS/OWS, Digital Appliance, or Smart Glasses architecture

• PCB prototyping (schematic and layout) and bring-up

• Firmware (C/C++) and basic test scripting (Python)

• Native Korean and fluent English

Other Requirements:

• Strong communication, presentation, and client relationship management skills

• Ability to provide onsite and remote technical support

Responsibilities:

• Act as primary technical contact to resolve customer issues

• Independently prototype new demo systems and experimental software

• Drive technical sales by influencing design wins and reviewing schematics

• Provide in-depth knowledge on system integration and AI model support

• Validate new products and run simulations

Benefits:

• Equity compensation

• Best-in-class healthcare, dental, and vision plans

• Unlimited PTO

• 401k with company match

• Parental leave

Experience Requirements:

• 8+ years of professional experience in video production and editing

• Advanced proficiency in video editing software such as Adobe Premiere, Photoshop, Adobe CC

• Proficiency with professional-grade video, audio, and lighting equipment

Other Requirements:

• Up to 50% travel expected

• Ability to handle the logistics of video production, including directing on-site shoots

Responsibilities:

• Produce and edit short- to medium-form content including filming, editing, and sound design

• Develop video content tailored for social media, website updates, and marketing campaigns

• Handle pre-production tasks: storyboarding, scheduling, location scouting, and equipment prep

• Coordinate with internal teams and external vendors like freelance videographers

• Manage on-site shoots ensuring high-quality footage while adhering to tight schedules

Benefits:

• Equity compensation

• Best-in-class healthcare, dental, and vision plans

• Unlimited PTO

• 401k with company match

• Parental leave

Education Requirements:

• BA/BS degree

Experience Requirements:

• Six (6) or more years of professional classified security experience

• Active TS/SCI Clearance

• Extensive experience with Department of Defense (DOD) security processes and procedures

Other Requirements:

• Completion of FSO Program Management for Possessing Facilities training through CDSE

• Able to work extended hours as required

Responsibilities:

• Administer and coordinate all aspects of security activities per federal regulations

• Establish and manage liaison with government agencies, customers, and contractors

• Plan, develop, and manage security programs for classified and CUI materials

• Serve as focal point for receiving and controlling all classified documentation

• Investigate security violations and prepare reports for preventive actions

Benefits:

• Equity compensation

• Best-in-class healthcare, dental, and vision plans

• Unlimited PTO

• 401(k) with company match

• Parental leave

Education Requirements:

• Bachelor’s degree in Computer Science, an Engineering discipline, or equivalent practical experience

Experience Requirements:

• 3+ years of experience in project coordination, test coordination, or technical operations

• Hands-on experience with JIRA or similar ticket management system

Other Requirements:

• Ability to obtain and maintain a U.S. DoD security clearance

• Willingness to travel to and work at field test sites

Responsibilities:

• Plan, schedule, and coordinate upcoming field tests with engineering and operations

• Assist teams in creation and revision of structured test plans and validation docs

• Track and manage software and hardware issues identified during field testing

• Provide clear reporting on test readiness, issue status, and outstanding risks

• Maintain visibility into remote demo schedules and cross-functional deliverables

Benefits:

• Equity compensation

• Best-in-class healthcare, dental, and vision plans

• Flexible PTO

• 401k with company match

• Parental leave

Education Requirements:

• Bachelor's degree in engineering, or a similar technical field

Experience Requirements:

• 5 to 8 years of equivalent work experience

• Proven hands-on experience working with vehicles or complex hardware systems

• Proficiency in robotics, sensors, networking, or embedded systems

Other Requirements:

• Ability to obtain and maintain a U.S. DoD security clearance

• Frequent, extended travel expected (>50%)

Responsibilities:

• Deploy and test autonomous vehicles and payloads in real-world environments

• Perform hands-on troubleshooting, maintenance, and repair of vehicle systems

• Contribute to hardware/software integration and enhancements

• Partner with engineers and program managers to ensure alignment with user needs

• Maintain detailed records of field performance and documenting lessons learned

Benefits:

• Equity compensation

• Best-in-class healthcare, dental, and vision plans

• Unlimited PTO

• 401k with company match

• Parental leave

Education Requirements:

• Bachelor’s degree in Supply Chain Management, Business Administration, Logistics, or a related field

Experience Requirements:

• Minimum of 5 years of experience in inventory management or supply chain roles

• Proven knowledge of inventory management software (ERP, MRP systems)

• Advanced Excel skills

Other Requirements:

• Ability to obtain and maintain a DoD Security Clearance

• Forklift certification required

• Ability to lift materials up to 50 lbs

Responsibilities:

• Oversee inventory activities: receiving, storing, tracking, and distributing materials

• Ensure inventory levels are optimized to meet production requirements

• Implement inventory control procedures: audits, cycle counting, and reconciliation

• Collaborate with production team to forecast material requirements

• Supervise and lead a team of inventory control specialists and warehouse associates

Benefits:

• Equity compensation

• Best-in-class healthcare, dental and vision plans

• Unlimited PTO

• 401k with company match

• Parental leave

Education Requirements:

• Bachelor's degree in an Engineering discipline preferred

Experience Requirements:

• 4+ years of experience as a program manager, operations manager, or equivalent

• Experience fielding software or hardware products to real operating environments

• Experience working with ground autonomy systems

Other Requirements:

• Ability to obtain a US government security clearance

• Frequent, extended travel expected (>50%)

Responsibilities:

• Lead end-to-end execution of deployments for ground autonomy systems

• Serve as primary on-site representative during field operations

• Identify, prioritize, and resolve issues that impact mission execution

• Capture and translate user feedback into clear requirements for internal teams

• Establish and maintain clear program structure: goals, milestones, risks

Benefits:

• Equity compensation

• Best-in-class healthcare, dental, and vision plans

• Unlimited PTO

• 401(k) with company match

• Parental leave

Education Requirements:

• Bachelor’s degree in Occupational Safety, similar degree, or equivalent experience

Experience Requirements:

• 5+ years of experience in EHS, safety engineering, or a related role

• Working knowledge of OSHA standards and Washington State L&I requirements

Other Requirements:

• Ability to obtain and maintain a U.S. DoD security clearance

• Willingness to travel to and work at field test sites

Responsibilities:

• Own and continuously improve the company’s EHS program across office, manufacturing, and field

• Act as a trusted partner to engineering, operations, and field teams to manage risk

• Ensure compliance with OSHA and Washington State L&I requirements

• Lead incident reporting, investigation, and root cause analysis

• Develop and enforce safety programs for robot assembly, integration, and testing

Benefits:

• Equity compensation

• Best-in-class healthcare, dental, and vision plans

• Unlimited PTO

• 401k with company match

• Parental leave

Education Requirements:

• Bachelor’s degree in Manufacturing, Engineering, Business Administration, or a related field

Experience Requirements:

• 7-10 years of progressive experience in manufacturing

• At least 3 years in a leadership or management role

• Strong knowledge of manufacturing processes, production planning, and lean methodologies

Other Requirements:

• Ability to obtain and maintain a DoD Security Clearance

Responsibilities:

• Lead all aspects of day-to-day plant operations to meet production goals

• Supervise a team of supervisors, engineers, and production staff

• Champion a culture of safety and ensure facility adheres to OSHA standards

• Oversee the implementation and enforcement of quality control standards

• Manage the plant’s budget and coordinate resource needs with the COO

Benefits:

• Equity compensation

• Best-in-class healthcare, dental, and vision plans

• Unlimited PTO

• 401(k) with company match

• Parental leave

Education Requirements:

• Bachelor’s degree in Engineering or equivalent practical experience

Experience Requirements:

• 3+ years in a technical environment supporting engineering execution

• Experience coordinating work across software and hardware teams

• Experience running technical working sessions and capturing decisions

Other Requirements:

• Ability to obtain and maintain a U.S. DoD security clearance

• Willingness to travel to and work at field test sites

Responsibilities:

• Run engineering working sessions, integration syncs, and release readiness meetings

• Capture decisions, risks, and action items; drive follow-up until closure

• Coordinate day-to-day execution across software, hardware, production, safety, and test

• Manage handoffs between teams from design to implementation and test

• Support bug triage, issue tracking, and release coordination

Benefits:

• Equity compensation

• Best-in-class healthcare, dental, and vision plans

• Unlimited PTO

• 401k with company match

• Parental leave

Education Requirements:

• Bachelor’s degree in Engineering, Quality Management, Manufacturing, or related field

Experience Requirements:

• Minimum of 5 years of experience in quality management or quality assurance

• In-depth knowledge of quality tools like Six Sigma, FMEA, SPC, Control Plans

• Track record of managing quality teams and implementing effective QMS

Other Requirements:

• Ability to obtain and maintain a DoD Security Clearance

• Six Sigma Green Belt or Black Belt certification preferred

Responsibilities:

• Develop, implement, and continuously improve the Quality Management System (QMS)

• Oversee quality standards across all production processes and materials

• Establish and maintain effective supplier quality management practices

• Investigate and resolve non-conformance issues and lead root cause analysis

• Lead the Quality Assurance team and foster a culture of continuous improvement

Benefits:

• Stock options and bonuses based on performance

• Salary increases

Experience Requirements:

• 3+ years of experience

• UI implementation experience with Vue.js / React.js / Typescript

• Experience building development environments using NPM

• Experience debugging in various web browser environments

• Experience with configuration management using Git

Other Requirements:

• Experience applying design patterns and best practices

Responsibilities:

• Application development using Vue

• Web-based UI implementation

• Feature implementation and refactoring existing code

• Frontend system architecture design

• Product design and code strategy planning

Benefits:

• Quarterly performance bonuses

• Management development program

• Medical insurance

• Vision insurance

• Dental insurance

Experience Requirements:

• Leadership experience in customer support or call center operations

• Performance management experience

• Remote leadership capability

Other Requirements:

• Knowledge of CRM and ticketing platforms

• Strong coaching and mentoring skills

Responsibilities:

• Supervise remote customer support representatives

• Monitor KPIs, SLAs, and service metrics

• Provide coaching and performance feedback

• Conduct virtual team meetings

• Resolve escalated customer concerns

Experience Requirements:

• Strong proficiency in compiler development, including experience with LLVM, MLIR, TVM, or similar frameworks.

• Expertise in Machine Learning model execution, optimization, and deployment.

• Strong programming skills in C++, Python, and assembly-level optimizations.

• Knowledge of parallel computing, vectorization, and memory hierarchy optimizations.

• Familiarity with deep learning frameworks (TensorFlow, PyTorch, ONNX).

Other Requirements:

• Strong analytical skills for performance profiling and debugging.

• Experience in graph optimizations, quantization, and code generation.

• Knowledge of heterogeneous computing, DSPs, and low-level hardware programming.

• Familiarity with AI model deployment and inference optimization techniques.

• Background in high-performance computing (HPC).

Responsibilities:

• Develop and optimize compiler toolchains for ML accelerators, including front-end parsing, intermediate representation (IR) transformations, and backend code generation.

• Implement and enhance ML-specific optimizations such as operator fusion, memory layout transformations, quantization-aware compilation, and scheduling.

• Collaborate with hardware architects to co-design compiler optimizations aligned with accelerator capabilities.

• Work on ML frameworks (PyTorch, ONNX) to integrate compiler passes for efficient execution on target hardware.

• Improve performance through domain-specific optimizations, autotuning, and parallelization techniques.

Education Requirements:

• You are graduating with a MS, or Ph.D. degree in Computer Science, Computer Engineering, Applied Math, or related field.

Experience Requirements:

• Strong C++/ C or Python programming and software design skills, including debugging, performance analysis, and test design.

• Strong expertise on deep learning quantization

• Strong expertise on NN compiler (TVM, MLIR, GLOW, LLVM) experience

• Strong expertise on NN model pruning

• Strong expertise on Cadence DSP programming

Other Requirements:

• Numerical methods experience

• Knowledge of computer architecture

• Python experience

• Experience with Deep Learning Frameworks such as TensorFlow, PyTorch, and MXNet

Responsibilities:

• Contributing to deep learning infrastructure, data pipelines, tools and workflows that lay the foundation for building AI at scale.

• Writing software to deploy AI models and pipelines in real time applications (inference).

• Apply low precision inference, quantization, and compression of DNNs.

• Continuously improve inference latency, accuracy and power consumption of DNNs.

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.

Education Requirements:

• Graduate with a MS, or Ph.D. degree in Computer Science, Computer Engineering, Applied Math, or related field.

Experience Requirements:

• Strong Python or C++/C programming and software design skills, including debugging, performance analysis, and test design.

• Experience with Deep Learning Frameworks such as PyTorch, TensorFlow, and MXNet

• Experience with model acceleration techniques such as deep learning quantization, model pruning, and model distillation.

Other Requirements:

• Experience with numerical methods

• Knowledge of computer architecture

• Experience with AI compilers

• Experience in model deployment within the autonomous driving industry

• Experience deploying LLMs on edge devices

Responsibilities:

• Contribute to deep learning infrastructure, data pipelines, tools and workflows that lay the foundation for building AI at scale.

• Writing software to deploy AI models and pipelines in real time applications (inference).

• Apply low precision inference, quantization, and compression of DNNs.

• Continuously improve inference latency, accuracy and power consumption of DNNs.

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas

Education Requirements:

• Master’s degree in Electrical and Computer Engineering, Computer Science, or related field.

Experience Requirements:

• Develop deep learning-based perception algorithms, including object detection, lane detection, semantic segmentation, depth estimation, curb detection, etc.

• Design and evaluate cutting-edge network structures and data training methods for vision tasks.

• Implement network compression and quantization-aware data training to optimize models for ASIC hardware deployment.

Other Requirements:

• Conduct prototype development, regression testing, benchmark testing, and performance evaluation.

• Prepare demos to showcase model performance and deploy solutions on embedded platforms.

• Conduct R&D, stay updated with the latest research, and propose innovative ideas.

• Contribute to patent applications and publish research papers.

Responsibilities:

• Develop deep learning-based perception algorithms, including object detection, lane detection, semantic segmentation, depth estimation, curb detection, etc.

• Design and evaluate cutting-edge network structures and data training methods for vision tasks.

• Implement network compression and quantization-aware data training to optimize models for ASIC hardware deployment.

• Conduct prototype development, regression testing, benchmark testing, and performance evaluation.

• Prepare demos to showcase model performance and deploy solutions on embedded platforms.

Education Requirements:

• MS/PhD in Computer Science, Electrical Engineering, or a related field.

Experience Requirements:

• 2+ years of experience in computer vision, machine learning, and deep learning development.

• Proficiency in Python and C++ with hands-on programming skills; familiarity with embedded systems is a plus.

• Experience with Deep network development (visual data focus), object detection, tracking, and 3D computer vision.

• Experience with Structure from motion, network-based sensor fusion, and mathematical optimization.

• Familiarity with ADAS and autonomous driving technology, particularly in 3D object detection and semantic segmentation.

Other Requirements:

• Mandarin proficiency is a plus.

Responsibilities:

• Develop deep learning-based perception algorithms, including object detection, lane detection, semantic segmentation, depth estimation, curb detection, etc.

• Design and evaluate cutting-edge network structures and training methods for vision tasks.

• Implement network compression and quantization-aware training to optimize models for ASIC hardware deployment.

• Conduct prototype development, regression testing, benchmark testing, and performance evaluation.

• Prepare demos to showcase model performance and deploy solutions on embedded platforms.

Education Requirements:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Semiconductor Engineering, or related technical field.

• JD (Juris Doctor) or equivalent legal qualification from a recognized institution.

Experience Requirements:

• 1-3 years of experience in IP law, preferably in the semiconductor or technology industry.

• Admission to a bar association and registration with a patent office (e.g., USPTO, CNIPA, EPO) is preferred.

• Strong knowledge of patent laws, IP litigation, and technology licensing.

Other Requirements:

• Ability to analyze complex technical and legal issues and provide strategic recommendations.

• Excellent communication and organizational skills.

• Bilingual: English/Mandarin Preferred

Responsibilities:

• Assist in drafting, reviewing, and prosecuting patent applications in collaboration with external counsel.

• Monitor and analyze industry trends, competitor patents, and potential IP risks.

• Support IP litigation, enforcement, and licensing activities.

• Review and negotiate IP-related agreements, including NDAs, joint development agreements, and licensing agreements.

• Educate engineers and R&D teams on IP best practices and invention disclosures.

Education Requirements:

• Bachelor’s or higher degree in Electrical Engineering, Computer Engineering

Experience Requirements:

• Minimum of 5 years of experience in hardware-software integration, validation, driver/firmware development, and testing on PCIe(Gen3/4/5)

Other Requirements:

• Deep understanding of PCIe protocol(Gen3/4/5)

• Strong background in silicon validation and embedded software development, proven debug skills

• Excellent communication and problem-solving skills

Responsibilities:

• PCIe subsystem control firmware development

• LTSSM and power state management

• DMA, ATU, ATS, SRIOV and customized features implementation

• PCIe sub system integrated programmable core firmware development

• Support and debug PCIe compliance tests