• Bachelor’s degree in Computer Science, another technical discipline, or equivalent professional experience
• At least three years of software configuration management or software configuration control experience
• Experience working within aerospace regulatory environments
• Experience managing software configuration processes throughout the software development lifecycle
• Strong written and verbal communication skills
• Ability to work across systems, hardware, software, and research teams

• Master’s degree in Computer Science or Electrical Engineering
• Experience with DO-178C software configuration management
• Demonstrated delivery of large, cross-functional technical projects
• Ability to communicate complex technical information clearly and concisely to different audiences
• Experience developing frameworks or simplified tools used to support complex applications
• Experience improving configuration management tools, workflows, and processes

• Perform software configuration management and configuration control activities across complex aerospace systems and software development programs.
• Establish, maintain, and enforce configuration management processes, standards, procedures, and controls throughout the software development lifecycle.
• Manage configuration baselines, software releases, version control, change requests, and related documentation to maintain accuracy and traceability.
• Partner with Systems Engineers, Hardware Development Engineers, Software Development Engineers, and research teams to identify configuration gaps and implement effective solutions.
• Review proposed configuration changes for completeness, technical impact, compliance, and alignment with established engineering and regulatory requirements.
• Support audits and compliance activities within aerospace regulatory environments, ensuring configuration records and processes meet applicable standards, including DO-178C.
• Identify process deficiencies, discrepancies, and risks; communicate findings to technical stakeholders and drive timely resolution.
• Develop and enhance configuration management tools, workflows, and processes to improve efficiency, scalability, and reliability across complex technical programs.

Embedded Systems Engineer
This engagement will support standing up a dedicated edge-compute environment for a new LiDAR ground-truth pipeline, operating alongside their existing vehicle edge platform. Our engineer will lead board-level bring-up, BSP development, driver integration, and low-level platform work — partnering closely with the Perception & Sensor Fusion Engineer, who owns sensor calibration, synchronization, and the perception logic running on top of the platform.
What You'll Do

• Design and stand up a dedicated edge-compute unit, potentially using an NVIDIA Orin-class platform, to support LiDAR and multi-sensor processing.
• Own board support package (BSP) bring-up and driver modifications required for camera, LiDAR, and other vehicle sensor integration.
• Implement OS- and microprocessor-level functionality supporting millisecond-level multi-sensor time synchronization.
• Support on-device storage and upload infrastructure for captured sensor data.
• Collaborate closely with perception, platform, and OS engineering teams on hardware/software integration.
• Develop and validate functionality using mock or synthetic sensor data during initial development.

• Strong C/C++ experience, including low-level driver development and BSP/board bring-up on embedded or edge hardware.
• Experience bringing up and developing on RTOS, embedded Linux, QNX, or similar operating systems on ARM-based or comparable platforms.
• Experience working in resource-constrained, real-time edge-compute environments.
• Hands-on experience with camera, LiDAR, radar, IMU, or other sensor integration at the embedded/platform level.
• Prior experience within automotive, ADAS, autonomous vehicles, robotics, drones, or another sensor-intensive autonomous system.
• Strong hardware/software debugging and systems-integration experience.
• Ability to work North American business hours with strong written and verbal communication skills.

• Direct experience with LiDAR integration at the BSP or driver level.
• Experience supporting ADAS, autonomous-driving, perception, or sensor-fusion platforms.
• Experience with NVIDIA Jetson, Orin, DRIVE, or similar edge-compute platforms.
• Experience with multi-sensor time synchronization, hardware timestamping, PTP/PPS, or related technologies.
• Background in autonomous vehicles, robotics, drones, or industrial collision-avoidance/safety systems.

TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-CH1

Edge ML Application Developer- Bellevue, WA or Santa Clara, CA 
This engagement focuses on building the critical integration layer between the client's on-vehicle machine learning models and real-time, driver-facing features on an edge-compute platform. The internal science team owns core model development; our role is to partner with them to deploy, optimize, and productionize those models on-device; translating research-grade models into reliable, real-time application logic. This includes preparing and synchronizing sensor inputs, tuning models for on-device performance constraints, and architecting the logic that arbitrates and combines outputs from multiple concurrent models into a single, dependable feature decision the driver can trust.
 
What You'll Bring

• Strong Python experience with hands-on deployment and optimization of machine learning models on edge or embedded devices.
• Experience with edge inference frameworks such as TensorRT, ONNX Runtime, TensorFlow Lite, or comparable technologies.
• Experience deploying production computer vision, perception, or deep-learning models in real-time or near-real-time environments.
• Prior experience within automotive, ADAS, autonomous vehicles, robotics, drones, or another sensor-driven autonomous system.
• Experience working with camera, LiDAR, radar, IMU, or other sensor-based perception inputs.
• Experience integrating outputs from multiple models or perception components into unified application or decision logic.
• Strong understanding of latency, memory, throughput, and compute constraints in edge environments.
• Experience with preprocessing, post-processing, confidence thresholds, filtering, tracking, fusion, or output arbitration.
• Ability to work North American business hours with strong written and verbal communication skills.

• Experience with NVIDIA Jetson, Orin, DRIVE, CUDA, or DeepStream.
• Experience with model quantization and optimization techniques such as INT8, FP16, pruning, distillation, or layer fusion.
• Experience with ADAS, collision avoidance, driver monitoring, or other safety-critical vehicle systems.
• Experience with sensor fusion, multi-camera perception, LiDAR processing, trajectory estimation, or 3D perception.
• Strong C++ experience for performance-sensitive inference or perception applications.

• Port, compile, and deploy ML models to resource-constrained edge-compute platforms.
• Optimize model inference for latency, memory, throughput, and hardware constraints.
• Build preprocessing pipelines for camera, telematics, and other sensor inputs.
• Develop post-processing and application logic that combines outputs from multiple concurrent models into unified real-time decisions.
• Implement confidence filtering, prioritization, and arbitration logic across competing model outputs and driver notifications.
• Integrate perception outputs into real-time vehicle features such as alerts, visual indicators, or audible warnings.
• Collaborate with perception, platform, embedded, and OS engineering teams to ensure sensor-data, timing, and runtime compatibility.
• Execute against an established system architecture while iterating quickly as requirements and implementation details evolve.

• 2–3 years of experience in administrative support, front desk, receptionist, or office administration roles.
• Experience with access control and facility monitoring, including monitoring employee and visitor entry/exit, ensuring individuals access only authorized areas, checking guests in and out according to established procedures, and monitoring keycard access.
• Reliable transportation with the ability to consistently commute to the work location.

• Serve as the primary point of contact for employees, visitors, vendors, and guests entering the office.
• Manage visitor check-in and check-out processes through the onsite visitor management kiosk, ensuring all established access procedures are followed.
• Monitor and maintain access control, including verifying that visitors are properly authorized and escorted by a CDW employee when required.
• Issue, manage, and monitor employee and visitor keycard access.
• Monitor CCTV systems to help maintain a safe and secure office environment.
• Manage the front desk phone and provide professional assistance to employees, visitors, and vendors.
• Support conference room coordination, including assisting with room setup and addressing basic meeting-related needs.
• Assist with office supply management, including inventory monitoring and coordinating supply orders as needed.
• Maintain a professional, welcoming, and organized front-office environment in a high-volume office setting.
• Work onsite Monday through Friday to support the day-to-day needs of a busy office with approximately 300 employees and frequent vendor and visitor traffic.

• Playwright Automation — Hands-on experience writing and maintaining automated tests using the Playwright BDD framework
• BDD Framework Experience — Ability to write test scenarios in BDD (Behavior-Driven Development) format and convert those steps into TypeScript
• Ecommerce end to end testing experience 
• TypeScript & JavaScript — Proficiency writing automation code from scratch in TypeScript and JavaScript
• SQL Proficiency — Strong ability to write complex SQL queries including inner joins and outer joins for data validation and test data preparation
• CI/CD Tools — Working knowledge of CI/CD pipelines, preferably Jenkins (or similar tools)
• JMeter — Ability to execute existing JMeter performance test plan

• Create, modify, and maintain automated test scripts using the Playwright BDD framework within an existing test architecture
• Write test scenarios in BDD format and convert them into executable TypeScript code
• Perform end-to-end testing of ecommerce applications to ensure quality across the modernization effort
• Write and execute complex SQL queries (inner joins, outer joins) to validate data and support test automation
• Execute and monitor existing JMeter performance test plans
• Work within Jenkins CI/CD pipelines to integrate and run automated tests as part of the build process
• Collaborate with the development and QA team (Sri, Lavanya, and Thulasi) during the modernization initiative
• On-site presence required 4 days per week (Monday–Thursday); Friday is work-from-home

TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.#LI-CH1