Software Engineer (Staff / Sr Staff) SF Bay Area or NYC preferred, or Remote

Equilibrium Energy, Inc.; Mississippi; Remote; USD 80,000 - 150,000; Full time

Job summary

Join a forward-thinking climate tech company revolutionizing energy storage solutions. As a Software Engineer, you'll contribute to cutting-edge cloud infrastructure, ML engineering, and complex workflow orchestration. Collaborate with a passionate team dedicated to fighting climate change while enjoying a flexible, remote-first work environment. This role offers opportunities for professional growth and a chance to make a significant impact in the clean energy sector. If you’re excited about modern tech stacks and want to be part of a mission-driven team, this is the perfect opportunity for you.

Benefits

Comprehensive medical, dental, and vision package

401k package

Equity grant

Unlimited vacation

Flexible work schedule

Professional growth opportunities

Remote work options

Collaborative culture

Mentorship from industry experts

Qualifications

• 8 years of relevant work experience in software development.
• Experience with ML and AI pipelines, and associated data structures.

Responsibilities

• Lead the design and development of software systems across our technical stack.
• Collaborate with engineers and researchers to build and ship code.

Skills

Python

Go

Julia

C

Rust

ML Engineering

Data Engineering

Cloud Infrastructure

DevSecOps

Education

Bachelor's degree in Computer Science

Master's degree in a quantitative discipline

Tools

Kubernetes

Linux Containers

Data Platforms

Orchestration Tools

Job description

Equilibrium Energy is revolutionizing the clean energy transition by developing innovative grid-scale energy storage solutions. Our technology and market platform helps utilities, independent power producers, and commercial customers optimize their renewable energy assets, improve grid reliability, and accelerate decarbonization. As a fast-growing climate tech company, we're building infrastructure that will shape the future of energy markets and enable a sustainable energy economy.

Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We’re looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan.

What we are looking for

We are looking for Software Engineers to contribute across our end-to-end platform. Our software engineers work across cloud infrastructure and distributed systems, data engineering, ML engineering and MLOps, simulation ecosystems, complex workflow orchestration, microservices mesh, application development and security. Our software engineers supercharge design and delivery of our product development activities while helping to build and lead an engineering capability that is the core of the company’s strategy and identity. If you want to fight climate change and love modern tech stacks, clarity of product vision, and exceptional colleagues, this role is for you!

In the near-term, you will work with other software engineers, data engineers, infrastructure engineers, ML engineers, data scientists, researchers and product managers to execute our ML- and AI-infused product development plan en route to growing our company. Have a specific interest in a particular part of our technical stack? No problem...we’re looking for technical leaders across our ecosystem.

In the medium-term, you will cultivate our software engineering function by nurturing a culture of experimentation and delivery. You will design, write and optimize software to support our end-to-end product development ambitions, helping to build the core of our competitive differentiation.

What you will do

• Lead the design, development, testing, delivery and support of software systems across our technical stack that drive our end-to-end product development ambitions.
  • Cloud and distributed systems development - contribute to building and maintaining our cloud-native platform and infrastructure; K8s, cluster management, linux containers, etc.
  • Data Platform and Engineering - our use cases are varied and so are our data engineering needs. From stream, batch, pub-sub, queuing, state stores, virtualization, complex data models and closed-loop pipelines, we’ve got a little bit of everything.
  • ML Engineering and MLOps - we aim to infuse EVERY business process with ML and AI, relying on closed-loop decision-making at every valuable juncture.
  • Simulation ecosystem - our ML- and AI-centric workflows need training and testing.
  • Workflow orchestration - we live in the land of complex, autonomous, multi-step sequential workflows operating in a distributed runtime with low latency requirements.
  • Service mesh - we rely heavily on reuse of core microservices to keep application development productivity high, which requires thoughtful service mesh management.
  • Application development - we’ve just started designing and developing across our anchor product suites, each focused on leveraging a common platform and service core.
  • DevSecOps - security is inherently embedded within our development and operations practices, and we leverage bespoke security techniques for some unique exposures.
• Assist in product development strategy, design, planning and productivity.
  • Contribute your unique technical, user, and market knowledge to product strategy.
  • Contribute to product and architectural design.
  • Contribute to product roadmapping, resource planning and sprint management.
  • Contribute to product development productivity improvements, including best practices, technical documentation, code reviews and automation / utility / abstraction packages.
• Serve as a member of our technical team across both engineering and research.
  • Collaborate asynchronously with engineers, researchers and product managers across time zones to design, build and ship code.
  • Contribute to technical strategy and planning across the company.
  • Represent Equilibrium in external venues, including presenting work at conferences and contributing to open-source projects.

The minimum qualifications you’ll need

• Passion for clean energy and fighting climate change
• BS/Master's degree in a quantitative discipline (e.g., Computer Science, Operations Research, Industrial Engineering, Mathematics, Economics, Physics, Electrical Engineering) or equivalent practical experience.
• Software development experience in Python, Go, Julia, C, or Rust.
• 8 years of relevant work experience.

Nice to have additional skills

• PhD degree in a quantitative discipline (e.g., Computer Science, Operations Research, Industrial Engineering, Mathematics, Economics, Physics, Electrical Engineering).
• 8 years of relevant work experience, including expert software engineering fundamentals and experience building software to support ML and AI pipelines, and associated data structures.
• Expertise in Go, Python, C, Rust, or Julia. Experience with orchestration tools like Temporal.
• Advanced proficiency across a range of data engineering tools (ELT, streaming, pub-sub, relational DBs, object DBs, GraphDBs, etc.).
• Deep expertise across any one of our tech stack domains: cloud infrastructure, data platform and engineering, IOT, MLOps and ML pipelines, simulation ecosystems, workflow orchestration, microservices orchestration, and/or application development.
• Familiarity supporting and releasing ML/AI models that drive operational workflows (e.g., models that run and produce new inferences every hour of the day).
• Proactive communicator who can translate product design specs into organized code.
• Experience communicating the results of analyses with product, engineering, and leadership teams to influence product and engineering strategy.
• Demonstrated proactivity and self-direction. Willingness to teach as well as learn.
• Excellent team collaboration skills and collaboration-first mentality.
• Experience with trading systems.

Not sure this is the right role for you?

We are a high growth company with accelerating hiring needs so there’s a great chance we’ll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role.

What we offer

Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. Our experience in the space means we’ve previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment.

Employee benefits include:

• Competitive base salary and a comprehensive medical, dental, vision, and 401k package
• Opportunity to own a significant piece of the company via a meaningful equity grant
• Unlimited vacation and flexible work schedule
• Ability to work remotely from anywhere in the United States, Canada & Europe, or join one of our regional hubs in Boston, SF Bay Area, or London
• Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech

Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.

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