The Select Group

Edge Application Developer

The Select Group • $120K — $145K *
Bellevue, WA 98006In-Person
Technical Services
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Strong Python experience for ML model deployment on edge devices
  • Familiarity with edge inference frameworks (TensorRT, ONNX, etc.)
  • Experience in real-time computer vision or deep learning applications
  • Background in automotive, robotics, or sensor-driven systems
  • Experience with sensor data types (camera, LiDAR, radar, etc.)
  • Ability to integrate multiple model outputs into cohesive decision logic
  • Understanding of edge computing constraints (latency, memory, throughput)

Responsibilities

  • Port, compile, and deploy ML models on edge-compute platforms
  • Optimize model inference for performance constraints
  • Build preprocessing pipelines for sensor inputs
  • Develop post-processing logic for decision-making
  • Implement filtering and arbitration across model outputs
  • Integrate perception outputs into vehicle features
  • Collaborate with various engineering teams for compatibility
  • Adapt requirements based on system architecture and implementation changes

Benefits

  • Collaborative work environment with engineering experts
  • Opportunities to work on cutting-edge automotive technologies
  • Exposure to real-time decision-making applications
  • Possibility to contribute to safety-critical vehicle systems
  • Potential career growth in a rapidly evolving field
Full Job Description
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.

Bonus Experience
  • 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.

What You'll Do
  • 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.

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About The Select Group

The Select Group is a full-service recruiting firm specializing in the placement of top-tier technical professionals in the Information Technology, Engineering, and Healthcare industries. The company was founded in 1999 and is headquartered in Raleigh, North Carolina. The Select Group has a nationwide presence with offices in major cities across the United States. The company has a strong focus on building long-term relationships with both clients and candidates, and prides itself on its ability to provide customized staffing solutions to meet the unique needs of each client. The Select Group has been recognized as one of the fastest-growing private companies in the United States by Inc. Magazine.
Learn more about The Select Group
Size
300 employees
Industry
Staffing
* Ladders Estimates

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