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Internship Environmental Software Engineer Jobs (NOW HIRING)

Moove

Software Engineer

Miami, FL

Coursework, projects, or internship experience involving AI/ML or LLM-driven applications ... If you thrive in environments where the bar is set high and the mission is clear, we want to talk.

Quona Capital

Software Engineer

Phoenix, AZ · On-site

$85 - $120/hr

Coursework, projects, or internship experience involving AI/ML or LLM-driven applications ... If you thrive in environments where the bar is set high and the mission is clear, we want to talk.

GRAND CANYON UNIVERSITY

Software Engineer

Boise, ID · On-site

$120 - $140/hr

Internship experience during the bachelor's degree. Entry‑Level Roles * Technical support specialist * Quality assurance tester * Software test engineer * Junior software engineer Professional ...

talentpluto

RL Environment Software Engineer

$220K - $400K/yr

The Opportunity As an RL Environment Software Engineer, you will sit at the intersection of research engineering and traditional software engineering, building the environments that simulate real ...

NEXA

Software Engineer

Hollywood, FL · On-site

$70K - $85K/yr

Help monitor and resolve issues in development or test environments * Software Engineer Practices * Use version control (Git) for all work * Follow development workflows (branching, PRs, reviews)

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Internship Environmental Software Engineer information

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How much do internship environmental software engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for internship environmental software engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Environmental Software Engineer vs Environmental Software Engineer?

AspectInternship Environmental Software EngineerEnvironmental Software Engineer
QualificationsEnrolled in or recent graduate of relevant degree (e.g., environmental engineering, computer science)Bachelor's or higher in environmental engineering, computer science, or related field; often requires experience
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time professional roles, project management, independent work
Employer & Industry UsageInternship positions in environmental tech firms, government agencies, research institutionsEstablished companies, consulting firms, government agencies in environmental sectors

In summary, an Internship Environmental Software Engineer is a temporary, entry-level position aimed at gaining experience, while an Environmental Software Engineer is a full-time professional role requiring more expertise and responsibility.

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The most popular types of Environmental Software Engineer jobs are:

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Internship Environmental Software Engineer jobs near you
Infographic showing various Internship Environmental Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

RL Environment Software Engineer

talentpluto

San Francisco, CA • On-site

$220K - $400K/yr

Full-time

Re-posted 21 days ago

Job description

Location: Remote (United States)
Work Model: Remote
Industry: Applied AI / AI research data
Compensation: $180K-$220K base, ~$400K+ OTE (uncapped profit share)
About the Company
Our partner is a fast-growing applied AI research lab that builds high-quality reinforcement-learning environments and agents sold to the world's leading AI labs. In under two years they have scaled to a nine-figure revenue run rate and grown their team severalfold in a matter of months, backed by leading venture investors. Quality is their core differentiator, and they are rapidly expanding into new domains.
The Opportunity
As an RL Environment Software Engineer, you will sit at the intersection of research engineering and traditional software engineering, building the environments that simulate real-world workflows and the agents that automate them. This is forward-looking work, you will help research and predict what high-quality environments the frontier will need next, then build them from the ground up.
You will join a brand-new RL team being assembled with exceptional talent, with a clear path to grow alongside it as the function scales into industry pods.
Responsibilities
  • Design and build high-quality RL environments that simulate real working environments end to end.
  • Develop agents for the tasks within those environments and iterate until they are efficient and production-ready.
  • Partner with the research team to scope which environments to build and why, staying ahead of future demand rather than only meeting present needs.
  • Own the backend and infrastructure layers that make environments reliable and scalable.
  • Help set engineering standards for a zero-to-one team as the RL function grows.
Requirements
  • Strong machine-learning engineers who code heavily and build systems from scratch, with strong intuition for reinforcement learning.
  • Proficiency across a modern stack, Node.js and Python on the backend and React/TypeScript on the frontend, with strong Kubernetes and Docker skills.
  • Comfort operating in a fast-paced startup environment with high ownership and long hours.
  • A track record of meaningful tenure and impact at previous companies.
  • Reinforcement-learning experience or an RL research background is a strong plus, though not required.
  • Bachelor's degree in computer science or a related technical field, or equivalent practical experience.

Apply