What are the responsibilities and job description for the Computer Vision Engineer position at MSR Technology Group?
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
Salary : $78 - $79