Staff / Senior Staff Software Engineer

Requirements

• 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
• (Desirable) PhD degree in a quantitative discipline (e.g., Computer Science, Operations Research, Industrial Engineering, Mathematics, Economics, Physics, Electrical Engineering)
• (Desirable) 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
• (Desirable) Expertise in Go, Python, C, Rust, or Julia. Experience with orchestration tools like Temporal
• (Desirable) Advanced proficiency across a range of data engineering tools (ELT, streaming, pub-sub, relational DBs, object DBs, GraphDBs, etc.)
• (Desirable) 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
• (Desirable) 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)
• (Desirable) Proactive communicator who can translate product design specs into organized code
• (Desirable) Experience communicating the results of analyses with product, engineering, and leadership teams to influence product and engineering strategy
• (Desirable) Demonstrated proactivity and self-direction. Willingness to teach as well as learn
• (Desirable) Excellent team collaboration skills and collaboration-first mentality

What the job involves

• 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
• 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
• 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
• 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