Jobs at Lyte

Build and maintain CI/CD pipelines, automated test frameworks, build and release infrastructure, and cloud or on-premise environments for embedded, firmware, and application software. Manage Git workflows, containerized services, hardware-in-the-loop testing, quality metrics, coverage, regression tracking, and release readiness. Support continuous improvement and QA best practices across engineering teams.

Design and deploy automated optical IQC/OQC test systems for high-volume manufacturing. Own opto-mechanical fixtures, instrumentation, motion control, machine vision, test software, data acquisition, MES integration, qualification, tool replication, and production ramp. Develop optical acceptance criteria, correlate subsystem results with lidar performance, and maintain yield, throughput, calibration, traceability, SPC, and gauge R&R. Travel to US and Asia manufacturing sites to support tester deployment and volume production.

Own and improve Lyte’s IT infrastructure across identity, endpoints, Linux systems, networking, cloud services, security, storage, backups, and business continuity. Administer Microsoft 365, Entra ID, Intune, Jamf, firewalls, VPNs, and endpoint security controls. Deliver infrastructure and security projects, automate workflows with scripting, reduce technology costs, improve documentation and audit readiness, and support reliable operations in a hands-on Sunnyvale office environment.

Own optical component and subsystem design from requirements and concept through qualification, manufacturing introduction, and production support. Lead lens design, tolerancing, supplier execution, optical testing, validation, and root-cause analysis. Use Zemax or CODE V to optimize designs and Python to automate analysis and test workflows. Collaborate cross-functionally to balance performance, manufacturability, cost, schedule, and product requirements.

Develops and optimizes signal-processing algorithm pipelines for sensing products and hardware accelerators. Responsibilities include algorithm research, fixed-point modeling, MATLAB/Python simulation, performance validation, HW/SW partitioning, test-vector generation, silicon bring-up, and system integration. The role collaborates with digital front-end, verification, architecture, embedded DSP software, and systems teams to deliver production-ready solutions for applications including radar, LiDAR, robotics, and multimodal sensing.

Own end-to-end integration and productization of sensing modules for robotics, from requirements and prototyping through system bringup, engineering builds, production ramp, and field support. Define specifications, test coverage, traceability, and readiness criteria; lead cross-functional debugging, failure analysis, root-cause investigations, and customer engineering support across optics, silicon, electronics, mechanics, firmware, and software.

Three-month System Software Internship focused on developing and optimizing Jenkins and GitLab CI/CD pipelines, Groovy shared libraries, build automation, regression testing, and hardware-in-the-loop infrastructure. Responsibilities include managing Jenkins agents and Docker environments, improving pipeline reliability, migrating pipelines, building monitoring dashboards, troubleshooting embedded and application software builds, and documenting operational practices while collaborating with hardware, firmware, and software teams.

Develop platform firmware, board support packages, low-level drivers, bootloaders, hardware abstraction layers, and power-management systems for electro-optical sensing hardware. Bring up boards and SoCs, integrate RTOS and Linux drivers, debug hardware and firmware with laboratory tools, and optimize performance, memory usage, and real-time behavior while collaborating with silicon, hardware, and application teams.

Build and operate internal platform software, including data ingestion pipelines, backend APIs, AWS infrastructure, SDKs, dashboards, and analytics tools. Own systems end to end from architecture through deployment, monitoring, and incident triage. Partner with hardware, firmware, and manufacturing teams to deliver reliable tooling and make system design decisions involving schemas, APIs, storage, and scalability.

Build host-side SDKs, APIs, drivers, data pipelines, and developer tools for perception hardware. Develop cross-platform C/C++ and Python interfaces, optimize streaming performance, create samples and documentation, collaborate with firmware and perception teams, and support customer integrations and SDK debugging.

Design and optimize hard real-time firmware for sensing and control systems. Responsibilities include RTOS scheduling, IPC, synchronization, device drivers, middleware, SoC and board porting, latency and memory optimization, and debugging concurrency issues. The role collaborates with platform, DSP, and application teams while supporting embedded systems for robotics, mobility, and automation.

Lead functional safety across silicon, hardware, and software for safety-critical robotics and automation systems. Develop safety concepts, HARA, FMEA/FMEDA, FTA, safety cases, and requirements; collaborate on safety mechanisms and diagnostic coverage; support validation, verification, audits, certification documentation, and assessor and customer compliance discussions.

Develop and maintain end-to-end LiDAR and camera perception software for robotics platforms. Responsibilities include sensor drivers, ROS 2 packages, GPU-accelerated processing, calibration, synchronization, recording and playback tools, Docker environments, packaging, CI/CD, hardware-in-the-loop testing, and production release automation. The engineer will support integration issues and collaborate closely with hardware, silicon, algorithm, manufacturing, and customer teams.

Build and own an internal manufacturing data platform, including a web portal, REST API, databases, automated pipelines, dashboards, data validation, traceability, cost and inventory tools, and reporting. Collaborate with engineering, test, operations, and supply-chain teams across sites; administer access, security, backups, and documentation; train users and drive adoption.

Leads III-V photonic component manufacturing across Taiwan and Asia, from NPI and process qualification through pilot builds and high-volume production. Manages foundry, OSAT, and contract manufacturing partners; improves wafer, coating, testing, assembly, burn-in, yield, quality, capacity, and reliability. Establishes process controls, analyzes production data, drives corrective actions, supports DFM/DFT, coordinates supply, and reports ramp performance while collaborating with global engineering teams.

Build, align, integrate, and characterize optical subsystems and laboratory setups. Perform optical alignment, system validation, testing, troubleshooting, data analysis, and failure investigations. Develop Python-based automation and analysis tools, support sensor prototyping and manufacturing-process validation, document results, and collaborate with electrical, firmware, DSP, software, and mechanical engineering teams.

Manages daily front-desk and office operations, including visitor reception, badges, mail and packages, meeting-room preparation, supplies, catering, vendors, maintenance requests, workplace events, and employee onboarding or offboarding. Provides reliable on-site coverage, maintains organized shared spaces, supports company meetings and visitors, and delivers administrative and operational support across teams.

Own hardware reliability and environmental qualification for sensor modules and custom silicon. Design, execute, and analyze HALT/HASS, vibration, shock, thermal, humidity, dust, and EMI/EMC testing. Develop accelerated life models and reliability predictions, lead failure analysis and corrective actions, manage test fixtures and chambers, and contribute design-for-reliability requirements. Document qualification results for customer and regulatory review while supporting functional safety and durability claims.

Owns internal IT infrastructure and information security across cloud, SaaS, endpoints, identity, networking, Linux, firewalls, and hybrid systems. Manages Microsoft environments, security operations, vulnerabilities, incidents, vendors, technology costs, and compliance support. Partners with engineering on secure infrastructure, backups, business continuity, and AI tools. Automates workflows using scripting and independently drives technical issues and infrastructure improvements from identification through implementation.

Research and develop end-to-end sensing algorithms for robotics and Physical AI, spanning signal processing, detection, estimation, camera and image processing, computer vision, machine learning, and multisensor fusion. Prototype in Python and C/C++, validate against simulated and real-world sensor data, define performance KPIs, optimize algorithms for embedded platforms, and support hardware, firmware, silicon, customer integration, and product bring-up.