Demo

Computer Vision Engineer

MSR Technology Group
Mountain View, CA Contractor
POSTED ON 7/6/2026
AVAILABLE BEFORE 7/31/2026

MSR Technology Group has been recognized as an Inc. 500/5000 company for the past seven consecutive years. We currently have an urgent opening for a Senior Computer Vision Engineer – Intelligent Mobility / Edge AI for an onsite role in 465 Bernardo Ave, Mountain View, CA 94043.



Position Details


:
Title: Senior Computer Vision Engineer – Intelligent Mobility / Edge

AILocation: 465 Bernardo Ave, Mountain View, CA 940

43Duration: Long Term Contrac

t Pay Rate: $78.50 per hour on W2 with benefit


s
Job Descripti

on.Position Summ

aryDevelop proof-of-concept (POC) computer vision systems for intelligent mobility and in-vehicle applications. The role focuses on rapidly evaluating, implementing, and deploying state-of-the-art computer vision and AI technologies on vehicle-grade edge computing platforms, bridging cutting-edge research and real-world intelligent mobility syste


ms.
Responsibili

  • tiesDevelop proof-of-concept systems using state-of-the-art AI and computer vision technolog
  • ies.Design and implement computer vision algorithms for object detection, tracking, semantic/instance segmentation, 3D scene understanding, visual localization, mapping, driver and occupant monitoring, and behavior recognit
  • ion.Build solutions using modern AI approaches including Vision Transformers (ViT), Vision-Language Models (VLMs), Multimodal AI, Foundation Models, Self-Supervised Learning, and Generative
  • AI.Evaluate and adapt the latest research papers and open-source models to automotive and intelligent mobility applicati
  • ons.Integrate camera, vehicle, and sensor data to create innovative AI-driven applicati
  • ons.Develop and integrate AI software on embedded and edge computing platforms for in-vehicle applicati
  • ons.Design real-time perception systems operating under vehicle constraints including compute, memory, latency, power consumption, and robustn
  • ess.Optimize AI models for deployment on automotive SoCs, GPUs, and AI accelerat
  • ors.Prototype and evaluate end-to-end systems on vehicle platforms, embedded devices, and research vehic
  • les.Develop software for deployment and demonstration in vehicle-based proof-of-concept platfo
  • rms.Evaluate tradeoffs among accuracy, latency, memory footprint, and operational robustn
  • ess.Collaborate with researchers, software engineers, and system engineers to realize innovative concepts and demonstrati
  • ons.Stay up to date with emerging trends in computer vision, multimodal AI, edge AI, and intelligent mobility syst


ems.
Requirem

ents:Qualifica

tionsRequired Qualifica

  • tionsMaster's degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related f
  • ield.Strong background in Computer Vision and Machine Lear
  • ning.Hands-on experience with PyTorch, TensorFlow, OpenCV, or similar framew
  • orks.Experience implementing and training deep learning models including CNNs, Transformers, Vision Transformers (ViT), Vision-Language Models (VLMs), and multimodal architect
  • ures.Strong programming skills in Python and
  • C .Experience reading, reproducing, and extending recent AI/CV research publicat
  • ions.Familiarity with Linux development environm
  • ents.Excellent verbal and written communication sk
  • ills.Preferred Qualifica
  • tionsExperience with Foundation Models, Large Vision Models, and Multimodal AI sys
  • tems.Experience with CLIP, SAM (Segment Anything), DINOv2, BEV-based perception models, or similar state-of-the-art vision technolo
  • gies.Experience with Generative AI and synthetic data genera
  • tion.Experience developing software on embedded Linux sys
  • tems.Experience with CUDA, TensorRT, ONNX Runtime, OpenVINO, or comparable inference optimization framew
  • orks.Experience optimizing and deploying AI models on edge devices and automotive computing platf
  • orms.Experience with NVIDIA Jetson, NVIDIA DRIVE, Qualcomm Snapdragon Ride, or similar embedded AI platf
  • orms.Experience with ROS/ROS2, sensor fusion, or robotic/automotive sys
  • tems.Experience in automotive, robotics, autonomous systems, or intelligent transportation sys
  • tems.Publications in leading AI, robotics, or computer vision conferences are a


plus.
If your background and experience align with this opportunity, please share your resume in confidence with the contact


below:
Recruiter Name:

SravanEmail: sravan@msrtechnolog



ies.com

Equal Opportunity Emplo


yer (EOE)

Salary : $78 - $79

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