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Nvidia Research Jobs in Indiana (NOW HIRING)

Arrive AI Inc

Sr. Platform Developer

Fishers, IN

$51 - $67.50/hr

Through systematic research, development, and deep customer collaboration, we've evolved to today ... Build and support GPU-accelerated and edge-to-cloud workflows leveraging NVIDIA technologies

Arrive AI

Sr. Platform Developer

Fishers, IN · On-site

$51 - $67.50/hr

Through systematic research, development, and deep customer collaboration, we've evolved to today ... Build and support GPU-accelerated and edge-to-cloud workflows leveraging NVIDIA technologies

Pfizer

... research, modeling, and large-scale data processing across multiple cloud environments. * Serve as ... Deep experience with HPC environments, job schedulers, and NVIDIA GPU compute. * Prior experience ...

Introl

Data Center Technician

Indianapolis, IN · On-site

$22 - $35/hr

... AI research facilities. We're looking for exceptional talent who thrive in high-pressure, high ... NVIDIA, AMD, Intel) Employment Structure & Expectations This is a W-2 hourly, project-based ...

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$10

$36

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How much do nvidia research jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for nvidia research in Indiana is $36.93, according to ZipRecruiter salary data. Most workers in this role earn between $19.83 and $50.25 per hour, depending on experience, location, and employer.

What is an Nvidia Research job?

An Nvidia Research job involves conducting cutting-edge research in areas like artificial intelligence, computer graphics, and high-performance computing. Researchers work on innovative projects that push the boundaries of technology, often collaborating with academia and industry partners. These roles typically require expertise in machine learning, deep learning, hardware acceleration, or related fields. Team members publish papers, develop prototypes, and contribute to Nvidia's long-term technological advancements.

What are the key skills and qualifications needed to thrive in the Nvidia Research position, and why are they important?

Excelling in Nvidia Research typically requires a PhD or advanced degree in computer science, electrical engineering, or a related field, with strong expertise in machine learning, computer vision, and deep learning algorithms. Familiarity with programming languages such as Python and C++, and experience using frameworks like TensorFlow or PyTorch, as well as CUDA for GPU computing, are also important. Excellent problem-solving abilities, creativity, and effective collaboration and communication skills help set candidates apart. These skills are crucial for conducting innovative research, collaborating with multidisciplinary teams, and advancing the field of AI and graphics technology.

What opportunities for career growth and advancement are available within Nvidia Research?

Nvidia Research offers a dynamic environment where researchers can grow by taking on increasingly complex projects, publishing groundbreaking work, and collaborating with world-class experts. Many team members advance to senior and principal researcher roles or transition into leadership positions overseeing multi-disciplinary research initiatives. Nvidia also encourages continuous learning through conferences, workshops, and internal seminars, which further support professional development. As the company continues to expand its research footprint, there are ample opportunities to shape new areas of innovation and make a lasting impact on both the organization and the industry.

What are the most commonly searched types of Nvidia Research jobs in Indiana? The most popular types of Nvidia Research jobs in Indiana are:
What are popular job titles related to Nvidia Research jobs in Indiana? For Nvidia Research jobs in Indiana, the most frequently searched job titles are:
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Nvidia Research jobs near you
Infographic showing various Nvidia Research job openings in Indiana as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $76,805 per year, or $36.9 per hour.

Sr. Platform Developer

Arrive AI Inc

Fishers, IN

$51 - $67.50/hr

Other

Posted 29 days ago

Job description

Description

At Arrive AI, we're not just building products-we're transforming the future of the Autonomous Last Mile (ALM). Over a decade ago, we started with a pioneering vision and patents for the first smart mailbox for drone delivery. Through systematic research, development, and deep customer collaboration, we've evolved to today where we deploy Arrive Points-a type of smart locker and mini-cross-docks for frictionless drone, robotic, and courier delivery and pickup, utilized from medical supplies to meals to e-commerce. Arrive AI is now growing and investing to scale an ALM network and platform of the future for all autonomous delivery providers, services, and customers. Arrive AI is the intelligent choice for the last inch of the Autonomous Last Mile. 


About Us: 

We move fast, balancing strategy with opportunity. We are merit-based, valuing integrity, innovation, and treating others as we want to be treated. At Arrive AI, every employee is an equity holder and a business owner. Our shared vision, ownership, and culture fuel our mission to revolutionize autonomous delivery. 


Product Team 

You'll be joining Arrive AI's Product Team to revolutionize Autonomous Last Mile (ALM) logistics by transforming over a decade of research, design, and customer collaboration into the world's first autonomous logistics network and platform. Our fast-paced skunkworks team rapidly iterates, prototypes, and develops next-generation Arrive Point units, networks, and AI-powered platforms. By integrating cutting-edge hardware, robotics, IoT, software, data, AI, and manufacturing, we're driving a bold roadmap for ALM innovation. Based in Fishers, IN, we offer a unique opportunity to do your life's best work, shape the future, and share in the success. 


The Role: 

What You'll Do:

  • Design, build, and operate full-stack software systems that power the Arrive Point platform
  • Architect cloud-native services and APIs that support real-time, IoT-connected hardware in production
  • Collaborate closely with hardware and AI teams to integrate software, embedded systems, and AI models
  • Build and support GPU-accelerated and edge-to-cloud workflows leveraging NVIDIA technologies
  • Prototype, test, and iterate rapidly to validate new platform capabilities and product features
  • Own software quality from design through deployment, including testing, performance tuning, and reliability
  • Improve developer experience through tooling, CI/CD pipelines, observability, and automation
  • Contribute to engineering best practices and mentor teammates through reviews and technical guidance

Requirements

What We're Looking For: 

  • Development Experience: 8-12+ years of professional experience in full-stack and/or backend software engineering
  • Proven track record building and operating production systems at scale
  • Strong experience with cloud-native architectures, APIs, and distributed systems

Required Technical Skills

  • Experience working with NVIDIA technologies, including GPU-accelerated workloads, edge computing, or AI infrastructure
  • Strong proficiency in modern languages such as JavaScript/TypeScript and Python

Platform & Systems Knowledge

  • Experience with containerization, CI/CD pipelines, and production deployments
  • Familiarity with databases, microservices, and scalable infrastructure

AI & Product Mindset

  • Experience integrating AI models into production systems
  • Enthusiasm for applying AI tools to improve developer productivity and system capabilities
  • Comfort working across cloud, edge, and hardware-influenced environments

Collaboration & Culture Fit

  • Strong communicator who collaborates effectively across engineering disciplines
  • Enjoys mentoring, sharing knowledge, and raising the technical bar for the team
  • Thrives in fast-moving, iterative startup environments

Nice to have:

  • Familiarity with 3d Simulation such as Unity, Unreal Engine and Omniverse. 
  • Experience with IoT, robotics, logistics, or hardware-adjacent systems is a strong plus

Additional: 

  • Possible travel up to 5 days per month. 
  • Responsibilities include all other duties as assigned.

Compensation: 

  •  Salary is market competitive in high equity incentive - be an owner and Grow with Arrive AI 

At this time, we are not able to provide visa sponsorship for this position.

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