Senior Deep Learning Software Engineer - Autonomous Vehicles at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

287500.0

Posted On

08 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, Software Development, Computer Vision, DNN Optimization, Quantization, Python, C/C++, NVIDIA Docker, CNNs, Transformer Architectures, Machine Learning, AI Solutions, Object Detection, Segmentation, Scene Parsing, Modular Design

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Deep Learning Software Engineer - Autonomous Vehicles in the United States. This role offers an exciting opportunity to advance deep learning solutions for autonomous vehicles. You will design, train, optimize, and deploy perception deep neural networks (DNNs) while working closely with cross-functional teams to integrate cutting-edge AI into automotive platforms. The position involves developing novel deep learning architectures, fine-tuning models for low-precision inference, and improving speed, accuracy, and energy efficiency. You will collaborate directly with partners and internal teams to deliver high-quality AI solutions that enhance autonomous driving systems. This role is ideal for engineers passionate about AI, machine learning, and the future of self-driving technologies. Accountabilities: · Train, fine-tune, and optimize perception DNNs for deployment on automotive platforms. · Apply quantization and low-precision techniques (FP16/INT8) to improve inference performance and power efficiency. · Develop and refine deep learning architectures using modern ML algorithms. · Implement and experiment with new research insights to enhance DNN accuracy and robustness. · Collaborate with architecture, software, and partner teams to integrate solutions effectively. · Ensure high-quality code, modular design, and adherence to best practices for deep learning software development. · MS or PhD in Computer Science, Computer Vision, Computer Architecture, or equivalent technical experience. · 5+ years of experience in software development, including 2+ years working with deep learning frameworks (PyTorch, TensorFlow, JAX, ONNX, etc.). · Hands-on experience with computer vision tasks such as object detection, segmentation, or scene parsing using DNNs. · Strong programming skills in Python and/or C/C++. · Solid understanding of CPU/GPU architectures, numeric libraries, containers (e.g., NVIDIA Docker), and modular software design. · Familiarity with CNNs, Transformer architectures, and DNN optimization techniques. · Strong analytical, time-management, and organizational skills to coordinate multiple initiatives in complex projects. Preferred Qualifications: · Experience with low-precision inference, quantization, and DNN compression. · Knowledge of NVIDIA software libraries such as CUDA and TensorRT. · Open-source project contributions, GitHub repository management, or mentoring experience. · Competitive base salary: $148,000–$235,750 USD for Level 3, $184,000–$287,500 USD for Level 4. · Eligibility for equity and performance-based incentives. · Comprehensive healthcare coverage including medical, dental, and vision. · Opportunities for professional development and career growth. · Work with leading-edge AI technologies in autonomous driving, collaborating with highly skilled engineering teams. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

You will design, train, optimize, and deploy perception deep neural networks (DNNs) while collaborating with cross-functional teams. The role involves developing novel deep learning architectures and improving speed, accuracy, and energy efficiency.