About Nexus
Nexus is building a world supercomputer by leveraging the latest advancements in AI, cryptography, engineering, and science. Our team of world-leading experts is developing and deploying the Nexus Layer 1 blockchain and Nexus zkVM (zero-knowledge virtual machine) in support of our mission to enable the Verifiable Internet.
Nexus raised $25M in Series A funding from Lightspeed, Pantera, Dragonfly, SV Angel, and more.
We are headquartered in San Francisco, and this role will be in-person with the rest of the Nexus team.
AI Software Engineer, Systems
At our fast-growing startup, we’re on a mission to harness AI to solve real-world problems and delight our users. As an AI Software Engineer (Systems), you’ll design and optimize the backbone of our AI-powered products — making sure they’re robust, scalable, and blazing fast. You’ll join a mission-driven, fast-paced team that values innovation, collaboration, and a sense of humor while tackling cutting-edge challenges.
Responsibilities
Design & build the core systems and services that power our AI products, ensuring they are scalable, secure, and highly performant.
Develop and optimize machine learning pipelines (from data ingestion to training and real-time inference) to deliver AI features quickly and reliably.
Integrate new machine learning models into production applications, working closely with ML engineers to turn prototypes into rock-solid services.
Monitor and improve system performance and reliability in production – you’ll debug issues, tweak performance, and ensure our infrastructure can grow with our user base.
Collaborate with a small, cross-functional team (ML engineers, data scientists, product managers) to brainstorm ideas, plan projects, and rapidly ship new features.
Rapidly prototype new ideas and experiments to push the boundaries of our AI capabilities – we love quick iterations and learning by doing.
Maintain quality: Write clean, maintainable code with proper tests, and participate in code reviews to keep our codebase top-notch.
Responsibilities
3+ years of hands-on software development experience, with a focus on building and scaling backend systems (bonus if some of that is with AI or data-intensive applications).
Strong coding skills in Python, C++, or similar languages, and solid computer science fundamentals (data structures, algorithms, etc.).
Experience with AI/ML: Familiarity with machine learning frameworks (e.g. PyTorch, TensorFlow) and a good understanding of how ML models work.
Cloud & DevOps savvy: Experience deploying applications on cloud platforms (AWS, GCP, etc.) and using containers/orchestration (Docker, Kubernetes) to build scalable systems.
Problem-solving chops: Excellent debugging and problem-solving skills – you enjoy digging into complex systems to figure out how things work (and how to make them better).
Adaptability: Comfortable working in a fast-paced, agile environment. You pick up new technologies quickly and aren’t afraid of the unknown.
Team player attitude: Great communication skills and a collaborative spirit. You enjoy working with others and sharing knowledge in a supportive, no-ego team.
Education: Bachelor’s degree in Computer Science or related field (or equivalent practical experience).
Embrace AI as a core part of how you work, think, and build.
Bonus Points
Deep learning extras: Experience with GPU programming (CUDA) or optimizing model inference (we’ll be impressed if you can squeeze out extra speed from our models!).
MLOps tools: Familiarity with tools like Kubeflow, MLflow, or other MLOps/DevOps pipelines to automate and streamline ML workflows.
Open-source contributions: You’ve contributed to open-source AI projects or have cool personal projects in AI/ML that you’re proud to share.
Ever-curious mindset: You stay up-to-date with the latest AI research and love tinkering with new models and technologies just for fun.
Benefits
Competitive salary and generous equity compensation
Health insurance for employees and their dependents
Daily lunch and dinner provided at SF headquarters
Company-paid travel to events and conferences
Nexus is committed to diversity in our workforce and is proud to be an Equal Opportunity Employer (EEO).
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