Software Engineer - Backend/Distributed Systems

Reposted 9 Days Ago
9 Locations
Remote or Hybrid
Senior level
Artificial Intelligence • Software • Energy • Renewable Energy
The Role
The Software Engineer will build scalable backend services, optimize performance, and mentor peers, focusing on distributed systems development.
Summary Generated by Built In
About Emerald AI

We’re at a pivotal moment for AI and energy. Demand for compute is skyrocketing, but power constraints are becoming a critical bottleneck. Emerald AI sits at the intersection of these two worlds, enabling AI data centers to scale without overwhelming the grid.

Our Emerald Conductor software platform makes data centers flexible and responsive, allowing them to adjust power usage dynamically. This unlocks massive AI growth without major new infrastructure, while also strengthening the grid and supporting the expansion of renewable energy.

We’re a team of experts across AI, cloud, software, and energy—on a mission to scale AI sustainably. We’re backed by leading investors and partners including Radical Ventures and NVIDIA.

Learn more about our vision, team, and backers at https://www.emeraldai.co/.

About the Role

We’re hiring a Distributed Systems / Backend Engineer to serve as a key contributor on the core backend platform powering Emerald AI. This is a high-impact role: you will drive architectural decisions, introduce best practices, build foundational infrastructure, and help guide the evolution of our real-time energy intelligence engine.

You’ll work across ingestion, compute, storage, and system orchestration—designing components that must be highly reliable, resilient, and capable of operating at scale. As one of the early engineering hires, you’ll have a major influence on our stack, roadmap, and long-term technical direction.

We hire across levels, from early-career to staff+, with expectations and scope aligned to your ability to drive outcomes.

Key Responsibilities
  • Designing and scaling systems that interact with real-world energy infrastructure

  • Building high-performance services and APIs that power core product workflows

  • Tackling hard problems in reliability, data modeling, and system design

  • Shipping end-to-end features—from idea to production

  • Improving system observability, performance, and fault tolerance

  • Partnering closely with product to turn ambiguous problems into shipped solutions

For senior candidates, you’ll have immediate opportunities to:

  • Drive architecture and technical direction

  • Lead ambiguous, high-impact initiatives

  • Mentor and elevate other engineers

Who Thrives Here
  • Engineers who want to build, not just maintain

  • People who take ownership without waiting for permission

  • Those who enjoy figuring things out when the path isn’t obvious

  • Engineers who care about both technical excellence and real-world impact

  • People who prefer high trust, high accountability environments

Preferred requirements
  • Experience with distributed systems or data-intensive applications

  • Experience building and operating backend or infrastructure systems with a focus on reliability, performance, and scalability

  • Interest in grid systems, energy orchestration, and applying AI to real-world infrastructure

  • Experience working on real-time or near real-time systems

  • Comfort operating in ambiguous environments and turning open-ended problems into production systems

  • Strong system design skills, including tradeoffs across latency, consistency, and scalability

  • Ability to work across the stack when needed to unblock progress

What We Offer
  • Make an impact. Solve the AI power bottleneck and shape how data centers scale sustainably.

  • Join a world-class team of AI, cloud, software, and energy experts in a collaborative, low-ego environment.

  • Build from 0→1. Influence strategy, GTM, org design, and customer/investor engagement from day one.

  • Competitive pay + equity. Stock options let you share in the value you help create.

  • Comprehensive benefits, including medical, dental, vision, and 401(k) matching.

  • Flexible location. Work from D.C., Boston, or the Bay Area, with 1 WFH day/week.

  • Backed by top investors, including Radical Ventures and NVIDIA.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

Emerald AI strives to respect the dignity and ‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees.

Inclusiveness is core to our culture at Emerald AI, and we strive to ensure you get the most from your interview experience. Emerald AI makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

Skills Required

  • 5+ years of software engineering experience
  • Experience designing and maintaining microservices architectures
  • Expertise in performance optimization and high-availability patterns
  • Understanding of system performance and profiling
  • Experience with object-oriented programming languages

Emerald AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Emerald AI and has not been reviewed or approved by Emerald AI.

  • Healthcare Strength Benefit descriptions consistently emphasize medical, dental, and vision coverage as part of the standard package. This signals a baseline level of health coverage that is positioned as comprehensive for roles being advertised.
  • Retirement Support Benefit language repeatedly includes 401(k) matching as part of the rewards package. This indicates retirement support is explicitly incorporated rather than left unspecified.
  • Equity Value & Accessibility Compensation positioning includes equity via stock options alongside pay. This frames ownership participation as a meaningful component of the overall rewards approach.

Emerald AI Insights

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The Company
26 Employees
Year Founded: 2024

What We Do

Emerald AI transforms energy-intensive data centers into AI-powered grid allies. The Emerald AI Conductor platform enables AI data centers to flexibly adjust their power consumption from the electricity grid on demand, orchestrating the computing loads of inference, training, and fine-tuning AI models across a network of data centers to bolster the power grid’s reliability while meeting strict compute performance standards. Flexibility could unlock up to 100 GW, or more than a decade of U.S. AI data center growth and trillions in AI investment, without enormous investments in electric grids or power plants—advancing innovation and competitiveness, ensuring power affordability for communities across the country, and bolstering the reliability of the electric power system.

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