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Renewable Energy Startup Jobs (NOW HIRING)

Fuse Energy

AI Inference Engineer

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to ...

Pegasus Tech Ventures

Energy Analyst

San Jose, CA · On-site

Startup World Cup extends to over 50+ countries across six continents, with a Grand Finale in ... focus on renewable energy, energy efficiency, energy storage, and other clean technologies

Nira Energy

Account Executive

About You * 2-7 years of experience in SaaS or energy sales (startup experience a plus). * Either: (a) Background in renewable development or interconnection, OR (b) proven ability to sell into a ...

Nira Energy

Account Executive

About You * 2-7 years of experience in SaaS or energy sales (startup experience a plus). * Either: (a) Background in renewable development or interconnection, OR (b) proven ability to sell into a ...

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All JobsEnergy and Environment JobsRenewable Energy Startup Jobs

Renewable Energy Startup information

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$40.5K

$58.1K

$118.5K

How much do renewable energy startup jobs pay per year?

As of Aug 23, 2026, the average yearly pay for renewable energy startup in the United States is $58,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $57,000.00 per year, depending on experience, location, and employer.

What is a renewable energy startup?

A renewable energy startup is a new or emerging company that focuses on developing, producing, or implementing technologies and solutions that generate energy from renewable sources such as solar, wind, hydropower, geothermal, or biomass. These startups aim to provide sustainable alternatives to traditional fossil fuels, reduce carbon emissions, and promote environmental sustainability. They may work on innovative products, services, or business models to address energy challenges and accelerate the transition to clean energy.

What are the key skills and qualifications needed to thrive in a renewable energy startup?

To succeed in a Renewable Energy Startup, you need a strong background in engineering, sustainability, or environmental science, often supported by relevant degrees or industry experience. Familiarity with renewable energy technologies, project management software, and industry certifications such as LEED or PMP is highly valuable. Entrepreneurial mindset, adaptability, and effective communication are crucial soft skills for navigating the fast-paced and evolving startup environment. These competencies are essential to drive innovation, secure funding, and execute projects that advance clean energy solutions.

What unique challenges might I encounter working at a renewable energy startup compared to established energy companies?

Working at a renewable energy startup often involves navigating a fast-paced and evolving environment where roles can be less defined and priorities may shift quickly as the company grows. You may face challenges such as tighter resources, the need to wear multiple hats, and a strong emphasis on innovation and adaptability. However, this environment also offers the opportunity to make a significant impact, collaborate closely with a passionate team, and gain exposure to a wide range of responsibilities that can accelerate your professional growth.

What is the difference between Renewable Energy Startup vs Renewable Energy Engineer?

AspectRenewable Energy StartupRenewable Energy Engineer
Required CredentialsVaries, often includes degrees in engineering, environmental science, or businessBachelor's or Master's in engineering, renewable energy, or related fields; certifications like PE or LEED are common
Work EnvironmentFast-paced, innovative, startup culture, often flexible and collaborativeTechnical, project-focused, can be office or field-based, structured work hours
Employer & Industry UsageStartups, renewable energy companies, clean tech sectorEstablished companies, consulting firms, project development firms in renewable energy

Renewable Energy Startups focus on developing new technologies and business models in a dynamic environment, often requiring versatile skills. Renewable Energy Engineers are more specialized, working on designing, implementing, and maintaining renewable energy systems within established organizations. Both roles are vital in advancing renewable energy but differ in scope, environment, and experience requirements.

How to start a career in renewable energy?

Starting a career in renewable energy typically involves obtaining relevant education such as a degree in engineering, environmental science, or renewable energy technology. Gaining practical experience through internships, certifications in areas like solar or wind energy, and developing skills in project management and technical analysis can improve job prospects in this field.

How to start a renewable energy startup?

Starting a renewable energy startup involves researching market opportunities, developing a viable technology or service, creating a detailed business plan, securing funding through investors or grants, and complying with relevant regulations. Building technical expertise and forming strategic partnerships are also essential steps in establishing a successful venture in the renewable energy sector.
More about Renewable Energy Startup jobs

What cities are hiring for Renewable Energy Startup jobs?

Cities with the most Renewable Energy Startup job openings:

What are the most commonly searched types of Renewable Energy Startup jobs?

The most popular types of Renewable Energy Startup jobs are:

What states have the most Renewable Energy Startup jobs?

States with the most job openings for Renewable Energy Startup jobs include:

What job categories do people searching Renewable Energy Startup jobs look for?

The top searched job categories for Renewable Energy Startup jobs are:

Renewable Energy Startup jobs near you
Infographic showing various Renewable Energy Startup job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $58,090 per year, or $27.9 per hour.

AI Inference Engineer

Fuse Energy

Remote

Full-time

Re-posted 4 days ago

Job description

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
As data centres become one of the largest and fastest-growing sources of electricity demand, Fuse is expanding into high-performance compute infrastructure that sits at the intersection of energy and AI. We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch - and we're looking for the founding engineer to own the latter.
We're looking for a Founding AI Inference Engineer to define and build how Fuse serves AI inference workloads at scale, reporting directly to the CTO. Where our CUDA and GPU engineering hires own kernel-level and hardware performance, this role owns the layer above it: how models actually get served, scaled, and delivered against committed performance targets.
The Opportunity
Fuse is seeing significant demand for data centre capacity across the markets we operate in, primarily for inference. Few companies in the world can pair real power delivery with real compute the way Fuse can, which puts inference serving at the heart of how we turn that advantage into the best offering in the market. That's this role.
Responsibilities
    • Define Fuse's inference serving strategy and architecture from first principles.
    • Design and build the serving stack: request routing, batching, scheduling, and autoscaling for high-throughput, latency-sensitive inference workloads.
    • Own model-level optimisation strategy for serving - deciding where and how to apply quantisation, distillation, speculative decoding, and similar techniques to improve throughput and cost per token, partnering with the CUDA/GPU engineers.
    • Make the core software architecture calls on serving frameworks and orchestration (e.g. vLLM, TensorRT-LLM, SGLang, Triton Inference Server, or equivalents).
    • Translate throughput, latency, and uptime commitments into concrete technical specifications and serving capacity plans.
    • Act as a direct technical owner of inference performance and reliability.
    • Work closely with the CUDA and GPU engineering teams to ensure custom kernels and hardware performance work are integrated cleanly into the serving layer.
    • Set the standards, tooling, and benchmarks this function will run on as it grows.

Requirements
  • 4+ years of experience building or operating large-scale inference serving systems, or equivalent strong project/industry experience.
  • Deep, hands-on experience with inference serving frameworks and the techniques used to optimise them (batching, KV-cache management, quantisation, speculative decoding).
  • Strong systems thinking - able to reason about the full path from incoming request to served response across a large cluster.
  • Comfortable working directly with GPU/CUDA engineers to integrate low-level performance work into a serving system.
  • A track record of making high-stakes architecture calls and owning the outcome.
  • Comfort operating without a playbook - this is a founding role shaping a new function around architecture that's still early-stage, not joining an established one.

Nice to Have
  • Experience with Triton or custom ML inference/training frameworks.
  • Experience with autoscaling or capacity planning for large-scale inference workloads.
  • Exposure to multi-tenant serving or SLA-driven infrastructure.
  • Background at a hyperscaler, frontier AI lab, or large-scale distributed inference system.
  • Familiarity with Kubernetes/Slurm for cluster orchestration.
  • Interest or experience in energy markets, grid systems, or sustainability-focused compute.

Benefits
  • Competitive salary and an equity sign-on bonus.
  • Biannual bonus scheme.
  • Fully expensed tech to match your needs.
  • Breakfast and dinner allowance for office based employees.

Apply