Senior Machine Learning Engineer-Perception
MotionalSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Driving, TechnologyIndustries
Requirements
- MS or PhD in Computer Science, Engineering, or related field (focus on Deep Learning, AI, or similar), or equivalent experience
- 8+ years of experience applying ML/DL to real-world perception problems
- Strong Python programming skills with proven software engineering practices
- Hands-on experience with deep neural network training, inference, and optimization using PyTorch, TensorRT (or similar)
- Solid understanding of the mathematical foundations of ML/DL
- Proven experience in data-driven analysis: setting up metrics, running large-scale experiments, interpreting results, and applying insights to guide model improvements
- Experience developing scalable software for large, sophisticated systems
- Excellent interpersonal skills; able to collaborate optimally across teams
- Self-motivated, analytical, and eager to solve meaningful and challenging perception problems
Responsibilities
- Collaborate with researchers and engineers to transform innovative algorithms into production-ready perception modules
- Research and prototype deep learning methods for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks, focusing on scalability and generalization across geographies and driving conditions
- Develop and implement experiments at scale, applying detailed analytics to validate adaptability and improve generalization to rare and corner-case scenarios
- Drive end-to-end deployment of perception models—from prototyping and validation to integration, optimization, and delivery into the autonomous driving stack
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What education and experience are required for this Senior Machine Learning Engineer role?
Candidates need an MS or PhD in Computer Science, Engineering, or related field with a focus on Deep Learning, AI, or similar, or equivalent experience, plus 8+ years applying ML/DL to real-world perception problems.
What technical skills are essential for this position?
Strong Python programming skills with proven software engineering practices are required, along with hands-on experience with deep neural network training, inference, and optimization using PyTorch, TensorRT (or similar), and a solid understanding of ML/DL mathematical foundations.
Is this a remote position, or does it require office work?
This information is not specified in the job description.
What is the salary or compensation for this role?
This information is not specified in the job description.
What qualities make a candidate stand out for this role?
Stand out with proficiency in global generalization for perception systems, data-centric mentality with strong analytics and error analysis, corner case mastery, static world understanding expertise, and advanced knowledge of Transformers, BEV architectures, and modern techniques.
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees