BE
Senior Machine Learning Engineer working on MLOps and Computer Vision for a tech company. Focused on building training pipelines and robust model operation systems.
NV
Onsite Senior Perception Fusion and Deep Learning Engineer – Autonomous Vehicles
Posted 3 hours ago
About the role
- Systems software expert in perception fusion and deep learning for autonomous vehicles at NVIDIA. Designing and prototyping multimodal perception solutions for enabling autonomous driving features across OEM partners.
Responsibilities
- Evaluate perception‑fusion algorithms and KPIs across multiple OEM carlines for both driving and parking functions, including near‑field scene understanding for parking and full‑field scene understanding for active safety and driving.
- Triage and diagnose perception‑fusion issues, identifying root causes behind KPI variations across carlines, regions, ODDs, and operating conditions.
- Propose and prototype innovative perception‑fusion solutions to meet new sensor configurations and platform requirements.
- Collaborate cross‑functionally with perception, planning, controls, systems, and platform teams to drive the development, optimization, and evolution of perception‑fusion algorithms.
Requirements
- MS or PhD (or equivalent industry experience) in Computer Science, Computer Engineering, Mathematics, Physics, or a related field, with 3+ years of industry experience in perception, computer vision, or multimodal sensor fusion for autonomous driving or robotics.
- Experience with advanced perception‑fusion components such as multi‑object tracking, data association, sensor modeling and calibration, or BEV / transformer‑based fusion architectures.
- Strong algorithmic fundamentals in digital image processing, multi‑view 3D geometry, nonlinear optimization, and classical fusion frameworks (KF/EKF), supported by a solid foundation in linear algebra and uncertainty modeling.
- Hands‑on experience with deep learning, including developing, training, and deploying perception or fusion models; strong Python skills for prototyping, analysis, and evaluation.
- Proficiency in C/C++ and Linux, with deep knowledge of modern C++ features, data structures, algorithms, and performance‑oriented system design.
- Excellent communication and collaboration skills, with the ability to work effectively across cultures, nationalities, and time zones.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Machine Learning Engineer at IT Labs collaborating on AI solutions for engineering innovation. Design, develop, and deploy machine learning models in a hybrid work environment.
AI/Machine Learning Engineer developing AI solutions that transform health data into actionable insights. Leading initiatives to improve patient outcomes through advanced AI techniques.
Machine Learning Engineer developing data pipelines and optimizing machine learning models for Vanguard. Engaging with data science teams and internal stakeholders for innovative AI solutions.
Machine Learning Engineer responsible for developing central SaaS products for Fortnox in Växjö. Collaborating within an agile team to innovate and enhance machine learning solutions.
Machine Learning Engineer in FOX's Forward Deployed program. Building and monitoring production machine learning models within live systems while rotating across business units in the media industry.
Machine Learning Engineer developing robust algorithms and recommendation systems for Pluralsight, enhancing learner experiences and delivering content tailored to needs.
ML infra engineer tasked with building large - scale infrastructure for generative AI at Adobe. Involves extensive experience in deep learning, PyTorch, and cloud platforms.
Open Source Triage Lead managing GitHub repositories for Ultralytics, contributing to AI development and community support.
Senior Machine Learning Engineer developing predictive solutions for business challenges within healthcare. Leveraging GCP and Vertex AI to bridge data science and engineering.