ZipRecruiter

Log In

1

C Innovation Jobs (NOW HIRING)

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA

$143K - $189K/yr

Take ML models and algorithms from initial evaluation and experimentation all the way to product level on the NVIDIA DRIVE AV platform, developing highly efficient product code in C++. * Innovation:

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA

$143K - $189K/yr

... C++. * Innovation: Keep track of the latest developments in machine learning, and incorporate techniques that improve platform performance. * Collaborate with LiDAR/camera teams, developers ...

previous pagenext page

Showing results 21-40

All JobsC Innovation Jobs

C Innovation information

See salary details

$10

$57

$95

How much do c innovation jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for c innovation in the United States is $57.79, according to ZipRecruiter salary data. Most workers in this role earn between $47.12 and $63.46 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in corporate innovation roles, and how can they be addressed?

Professionals in corporate innovation often encounter challenges such as resistance to change, navigating organizational silos, and aligning innovative ideas with core business objectives. Building strong cross-functional relationships and communicating the value of innovation initiatives can help overcome these obstacles. Additionally, fostering a culture of experimentation and learning from setbacks is crucial for sustaining innovation within a corporate environment.

What are the key skills and qualifications needed to thrive as an Innovation Manager, and why are they important?

To thrive as an Innovation Manager, you need strong skills in strategic thinking, creativity, project management, and a background in business or engineering, often supported by a relevant bachelor's or master's degree. Familiarity with innovation frameworks (like Design Thinking), data analysis tools, and project management software is typically expected. Excellent communication, adaptability, and leadership are critical soft skills for fostering a culture of innovation and driving cross-functional collaboration. These capabilities are vital for successfully generating, developing, and implementing new ideas that drive business growth and competitiveness.

What are C Innovation jobs?

C Innovation jobs typically refer to roles within C-Innovation, a company that specializes in providing remotely operated vehicle (ROV) and engineering solutions for the offshore oil and gas industry. Positions can range from ROV pilots and engineers to project managers and technical support staff. Employees are involved in designing, operating, and maintaining subsea equipment and systems. These jobs often require technical expertise, offshore certifications, and a willingness to work in challenging environments. Working at C-Innovation can involve international travel and collaboration with multidisciplinary teams to deliver subsea solutions.

What is the difference between C Innovation vs C Software Developer?

AspectC InnovationC Software Developer
Required CredentialsBachelor's in Computer Science or related field, certifications in innovation methodologiesBachelor's in Computer Science, coding certifications often preferred
Work EnvironmentResearch and development teams, innovation labsSoftware development teams, tech companies, IT departments
Employer & Industry UsageTech firms, R&D centers, startups focusing on new product developmentSoftware firms, tech companies, IT services
Common Search & ComparisonOften compared with software developers regarding technical skills and project scopeCompared with innovation roles for strategic impact and creativity

While C Innovation focuses on developing new ideas and innovative solutions within tech environments, C Software Developer primarily concentrates on coding, building, and maintaining software applications. Both roles require strong technical skills, but C Innovation emphasizes creativity, problem-solving, and strategic thinking, whereas C Software Developer emphasizes programming expertise and software engineering.

What cities are hiring for C Innovation jobs? Cities with the most C Innovation job openings:
What states have the most C Innovation jobs? States with the most job openings for C Innovation jobs include:
What job categories do people searching C Innovation jobs look for? The top searched job categories for C Innovation jobs are:
C Innovation jobs near you
Infographic showing various C Innovation job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,212 per year, or $57.8 per hour.

Senior Machine Learning Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted yesterday

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Intelligent machines powered by Artificial Intelligence computers that can learn, reason, and interact with people are no longer science fiction. Today, a self-driving vehicle powered by AI can meander through a country road at night and find its way. NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots, and self-driving vehicles that can perceive and understand the world.
Our team is building the machine learning backbone of the Perception component for NVIDIA DRIVE AV. We are seeking the best Machine Learning Engineers with a background in computer vision, LiDAR & camera perception, multi-sensor fusion and AI infrastructure who are passionate about solving the hardest problems for self-driving cars. Are you interested in inventing human-level AI for perception under real world conditions? If so, join us!
What You'll Be Doing:
  • Model Development: Design, train, and optimize innovative machine learning models for LiDAR/camera perception and multi-sensor fusion (e.g., object detection/classification, image classification, semantic segmentation, tracking).
  • Develop and coordinate entire ML workflows, covering data pipelines, model training, model metrics, continuous performance instrumentation, and reporting.
  • Productization: Take ML models and algorithms from initial evaluation and experimentation all the way to product level on the NVIDIA DRIVE AV platform, developing highly efficient product code in C++.
  • Innovation: Keep track of the latest developments in machine learning, and incorporate techniques that improve platform performance.
  • Collaborate with LiDAR/camera teams, developers, engineers, and managers to turn complex ideas into reliable solutions for autonomous driving.

What We Need to See:
  • MS or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
  • 8+ years of relevant proven industry experience applying machine learning to address real-world problems.
  • Strong C++ and Python programming and debugging skills with experience in developing for large, complex systems.
  • Deep practical experience applying machine learning to lidar/camera perception and multi-sensor fusion in automotive or related fields.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and a strong understanding of the mathematical foundations of ML.
  • Building and sustaining training and essential metric workflows for large-scale datasets.
  • Excellent communication and analytical skills. Self-motivated drive to solve hard problems.

Ways to Stand Out From the Crowd:
  • Multi-sensor fusion, LiDAR or Camera Perception Experience: Proven track record of developing and shipping deep learning models for LiDAR/Camera and Multi-Sensor Fusion in a production environment.
  • Advanced Model Knowledge: Familiarity with modern network architectures like Transformers and their application to visual recognition tasks.
  • AV Production Experience: A history of delivering ML features and models into a production autonomous vehicle stack or a related robotics product.
  • Performance Optimization: Experience with model optimization for real-time inference on embedded or automotive platforms (e.g., using TensorRT).

We believe that realizing self-driving vehicles will be a defining contribution of our generation (e.g., traffic accidents are responsible for ~1.25 million deaths per year worldwide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most brilliant and talented people in the world working here. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 14, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply