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Edge Computing Research Assistant Jobs (NOW HIRING)

Conduct market research, competitive analysis, and customer interviews to identify new ... Strong technical understanding of edge computing architectures, including hardware (servers ...

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Edge Computing Research Assistant information

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How much do edge computing research assistant jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for edge computing research assistant in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

What does an Edge Computing Research Assistant do?

An Edge Computing Research Assistant supports research projects focused on edge computing technologies, which involve processing data closer to where it is generated rather than relying solely on centralized cloud servers. Their responsibilities typically include conducting literature reviews, running experiments, collecting and analyzing data, and assisting in the development of hardware or software prototypes. They may also help write research papers, document findings, and present results to faculty or research teams. This role is essential for advancing innovations in distributed computing, IoT, and real-time data processing.

What are the key skills and qualifications needed to thrive as an Edge Computing Research Assistant, and why are they important?

To thrive as an Edge Computing Research Assistant, you need a strong background in computer science, distributed systems, and networking, typically supported by a relevant degree or ongoing graduate studies. Proficiency with programming languages (such as Python or C++), cloud/edge computing frameworks (like AWS IoT, Microsoft Azure IoT), and familiarity with research tools and data analysis platforms is essential. Analytical thinking, problem-solving abilities, and effective collaboration and communication skills make someone stand out in this position. These skills and qualities are crucial for driving innovative research, efficiently handling complex technical challenges, and contributing valuable insights to edge computing projects.

What are some common challenges faced by an Edge Computing Research Assistant, and how can they be addressed?

One of the main challenges in this role is managing the complexity of distributed systems and ensuring efficient data processing at the edge while maintaining security and privacy. Research assistants often need to stay current with rapidly evolving technologies and adapt to new tools and frameworks. Collaborating effectively with cross-disciplinary teams, such as hardware engineers and data scientists, is also essential to achieve project goals. Overcoming these challenges typically involves continuous learning, proactive communication, and leveraging mentorship from senior researchers.

What cities are hiring for Edge Computing Research Assistant jobs?

Cities with the most Edge Computing Research Assistant job openings:

What states have the most Edge Computing Research Assistant jobs?

States with the most job openings for Edge Computing Research Assistant jobs include:

What are popular job titles related to Edge Computing Research Assistant jobs?

For Edge Computing Research Assistant jobs, the most frequently searched job titles are:

Infographic showing various Edge Computing Research Assistant job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.

Group Product Manager, Edge Computing

San Francisco, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy‑first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem‑solving, opportunity‑finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high‑performing team that believes in each other, come build with us at Crusoe.

About the Role:

The Group Product Manager, Edge Computing is responsible for defining and delivering Crusoe's edge computing product strategy, built on Crusoe Spark™ modular AI data centers. You'll own the product vision, roadmap, and execution for edge offerings end to end, from hardware configurations to the software stack, bringing real‑time, low‑latency AI to industries like public sector, manufacturing, autonomous vehicles, and smart cities.

You will define how customers deploy and consume AI infrastructure at the edge, translating emerging low‑latency AI workload requirements into scalable, reliable, and economically efficient products. The role operates at the intersection of hardware, software, energy, and product strategy, ensuring that edge investments across modular data center design, compute platforms, and the cloud control plane translate into customer value and business outcomes.

The Group Product Manager, Edge Computing collaborates closely with engineering, infrastructure, manufacturing, business operations, and go‑to‑market teams to deliver edge solutions for customers running demanding AI workloads outside the traditional data center.

What You'll Be Working On:
  • Define and execute the product vision and strategy for Crusoe's Edge Computing offerings, based on Crusoe Spark™ modular AI data centers

  • Own the full product lifecycle, from ideation to end‑of‑life, across both hardware and software solutions at the edge

  • Conduct market research, competitive analysis, and customer interviews to identify new opportunities and validate product concepts

  • Translate product strategy into a detailed roadmap, user stories, and feature requirements spanning hardware configurations, software stack, and connectivity

  • Partner with engineering, infrastructure, manufacturing, business operations, and go‑to‑market teams to ensure successful product development and launch

  • Define pricing and packaging models that balance deployment economics, customer flexibility, and long‑term infrastructure returns

  • Track and analyze key product metrics to inform decisions and measure product success

  • Develop executive‑level narratives and decision materials that inform investment, capacity planning, and product direction

  • Serve as the internal and external evangelist for Crusoe's Edge Computing products, presenting to customers, partners, and internal stakeholders

What You'll Bring to the Team:
  • Product management experience delivering hardware, software, or platform products in the edge computing or cloud infrastructure space

  • A proven track record of launching and scaling B2B technical products from concept to market

  • Strong technical understanding of edge computing architectures, including hardware (servers, storage, networking), software (containerization, virtualization, control plane as part of a cloud infrastructure), and connectivity

  • Experience working across hardware and software boundaries, translating infrastructure capabilities into customer‑facing products

  • Ability to balance technical tradeoffs, customer requirements, and infrastructure economics when making product decisions

  • Experience collaborating across engineering, manufacturing, operations, and GTM teams to deliver complex infrastructure products

  • Exceptional communication skills, with the ability to articulate complex technical concepts to a variety of audiences and connect them to customer and business outcomes

  • The ability to thrive in a fast‑paced, high‑growth startup environment

Bonus Points
  • Experience with AI/ML infrastructure, including training, inference, and MLOps

  • Prior experience in the energy sector or with sustainable technology

  • Hands‑on experience with hardware design and manufacturing processes

  • Experience with a cloud provider (AWS, Azure, GCP) and their edge/distributed cloud products, or a deep understanding of cloud‑native principles

Benefits:
  • Competitive compensation and equity packages

  • Restricted Stock Units

  • Paid time off, paid holidays & leave of absence programs

  • Comprehensive health, dental & vision insurance

  • Employer contributions to HSA account

  • Paid parental leave

  • Paid life insurance, short‑term and long‑term disability

  • Professional development & tuition reimbursement

  • Mental health & wellness support

  • Commuter benefits (parking & transit)

  • Cell phone stipend

  • 401(k) Retirement plan with company match up to 4% of salary

  • Volunteer time off

  • Global travel insurance & emergency assistance

  • Daily meals allowance

  • Additional perks & programs specific to location

Compensation Range

Compensation will be paid in the range of up to $250,000-$300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, "sex/gender", "sexual preference/ orientation", gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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