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Computer Vision Engineer
Job Location:
Job Location:
Mountain View, CA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
8 September 2026 (5 hours ago)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
V2Soft is a global leader in IT services and business solutions delivering innovative and cost-effective technology solutions worldwide since 1998. We have We have headquartered in Bloomfield Hills MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI IT staffing cloud computing engineering mobility testing and more. Certified with CMMI Level 3 and ISO standards V2Soft is committed to quality and security. Beyond our work we actively support local communities and non-profits reflecting our core values. Join us to be part of a dynamic and impactful global company!
Please visit us at to know more.
Description:
Position Summary
Develop 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 systems.
Responsibilities:
Required Qualifications:
V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds including individuals with disabilities and veterans.
- to view all of our open opportunities and to learn more about our benefits.
Please visit us at to know more.
Description:
Position Summary
Develop 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 systems.
Responsibilities:
- Develop proof-of-concept systems using state-of-the-art AI and computer vision technologies.
- 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 recognition.
- 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 applications.
- Integrate camera vehicle and sensor data to create innovative AI-driven applications.
- Develop and integrate AI software on embedded and edge computing platforms for in-vehicle applications.
- Design real-time perception systems operating under vehicle constraints including compute memory latency power consumption and robustness.
- Optimize AI models for deployment on automotive SoCs GPUs and AI accelerators.
- Prototype and evaluate end-to-end systems on vehicle platforms embedded devices and research vehicles.
- Develop software for deployment and demonstration in vehicle-based proof-of-concept platforms.
- Evaluate tradeoffs among accuracy latency memory footprint and operational robustness.
- Collaborate with researchers software engineers and system engineers to realize innovative concepts and demonstrations.
- Stay up to date with emerging trends in computer vision multimodal AI edge AI and intelligent mobility systems.
Required Qualifications:
- Masters degree or higher in Computer Science Electrical Engineering Robotics Artificial Intelligence or a related field.
- Strong background in Computer Vision and Machine Learning.
- Hands-on experience with PyTorch TensorFlow OpenCV or similar frameworks.
- Experience implementing and training deep learning models including CNNs Transformers Vision Transformers (ViT) Vision-Language Models (VLMs) and multimodal architectures.
- Strong programming skills in Python and C.
- Experience reading reproducing and extending recent AI/CV research publications.
- Familiarity with Linux development environments.
- Excellent verbal and written communication skills.
- Experience with Foundation Models Large Vision Models and Multimodal AI systems.
- Experience with CLIP SAM (Segment Anything) DINOv2 BEV-based perception models or similar state-of-the-art vision technologies.
- Experience with Generative AI and synthetic data generation.
- Experience developing software on embedded Linux systems.
- Experience with CUDA TensorRT ONNX Runtime OpenVINO or comparable inference optimization frameworks.
- Experience optimizing and deploying AI models on edge devices and automotive computing platforms.
- Experience with NVIDIA Jetson NVIDIA DRIVE Qualcomm Snapdragon Ride or similar embedded AI platforms.
- Experience with ROS/ROS2 sensor fusion or robotic/automotive systems.
- Experience in automotive robotics autonomous systems or intelligent transportation systems.
- Publications in leading AI robotics or computer vision conferences are a plus.
V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds including individuals with disabilities and veterans.
- to view all of our open opportunities and to learn more about our benefits.
Required Experience:
IC
