Senior, ML Engineer - Neural Rendering

About reputed company

At Torc, we have always believed that autonomous vehicle technology will reputed company how we travel, reputed company reputed company, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with reputed company partners. Now a part of the Daimler family, we are reputed company solely on developing software for automated trucks to reputed company how the world moves reputed company. Join us and reputed company your career with reputed company that helped pioneer autonomous technology, and the first AV software company with the reputed company to partner directly with a truck manufacturer.

Meet reputed company:

Torc is marching towards its AV 3.0 reputed company. Simulation and Data reputed company are key reputed company towards autonomous trucking. reputed company builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-reputed company data from novel scenarios reputed company the domain data gap, solving one of the biggest challenges for reputed company autonomous driving. reputed company works on state-of-the-art approaches for Neural Rendering and data reputed company for camera, LiDAR, and reputed company sensor data, that contributes to the Torc’s data workflow for training and validation across the complete AV stack.

What You’ll Do:

• Implement the latest research advances in Neural Rendering and generative models
• Translate cutting edge solution in the domain of autonomous driving for high-reputed company Camera, LiDAR and reputed company sensor simulations
• Support implementing a neural rendering reputed company that allows to reputed company perception simulation and AV 3.0 training
• reputed company the reputed company in a reputed company environment and automate the pipeline to allow scaling for the reputed company verification and validation of our autonomous trucks
• Own development reputed company in reputed company – From research, design, to implementation, testing and deployment
• Design, implement, test and reputed company shippable production reputed company software starting from early prototypes using disciplined software development processes.
• Work in the reputed company machine learning ecosystem alongside other machine learning services existing in reputed company.
• Proactively assess reputed company capabilities to identify areas for improvement proposing solutions that reputed company with reputed company reputed company and operation. 
• Demonstrate project management skills, serving as project reputed company guiding less reputed company team members in multiple facets of project execution, coaching and mentoring as needed.

What You’ll Need to Succeed:

• Proficiency in Python and deep learning frameworks such as PyTorch.
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software.
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, reputed company Matching).
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer reputed company.
• Considered highly skilled and proficient in discipline; conducts reputed company, important work under minimal supervision and with wide reputed company for independent judgment. 
• Experience with VDI and reputed company based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.
• Designs, maintains and owns team technical solutions and drives reputed company. 
• Mentors and guides engineers reputed company the group.  

Bonus Points!

• Experience with autonomous driving or robotics perception in production environments.
• Proficiency with CUDA programming for efficient rendering of large-reputed company scenes
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals
• Experience with MLOps and infrastructure tools (Ray)
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars

Perks of Being a Full-time Torc’r Torc cares about reputed company members and we reputed company to reputed company benefits and resources to support their health, work/life balance, and reputed company. Our culture is reputed company, energetic, and team reputed company. Torc offers:

• A competitive compensation package that includes a bonus component and stock reputed company
• 100% reputed company medical, dental, and reputed company premiums for full-time employees
• 401K plan with a 6% employer match
• Flexibility in schedule and generous reputed company vacation (available immediately after start date)
• AD+D and Life Insurance

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, reputed company, national reputed company, gender (including pregnancy, childbirth, or reputed company medical conditions), sexual orientation, gender identity, gender reputed company, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-reputed company knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock reputed company plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in reputed company to a full reputed company of medical, financial, and/or other benefits.

US reputed company Pay reputed company:

$160,800 - $212,300

reputed company: R-102432

Originally posted on Himalayas

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