| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Nexus | San Francisco, CA, United States | $84k - $110k | |||
Blockstream | Remote | $175k - $240k | |||
Nexus | San Francisco, CA, United States | $126k - $127k | |||
Nexus | San Francisco, CA, United States | $98k - $106k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Nexus | San Francisco, CA, United States | $126k - $127k | |||
Nexus | San Francisco, CA, United States | $98k - $120k | |||
Nexus | San Francisco, CA, United States | $98k - $106k | |||
Raiku | London, United Kingdom | $90k - $112k | |||
Polygon Labs | United States | $72k - $100k | |||
Nexus | San Francisco, CA, United States | $105k - $180k | |||
Aztec | Remote | $72k - $77k | |||
Aztec | Remote | $81k - $95k | |||
Logos | New York, NY, United States | $63k - $68k | |||
Vac | New York, NY, United States | $63k - $68k | |||
Starkware | Remote | $175k - $240k |
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, Product
As an AI Software Engineer on the Product team, you will play a pivotal role in transforming cutting-edge AI research into production-ready features that deliver tangible value to users. You’ll work at the intersection of engineering, product, and research to rapidly prototype, test, and launch AI-powered experiences. This role is ideal for someone who thrives in fast-paced environments, loves iterating with users in mind, and is passionate about delivering delightful, intelligent products.
Responsibilities
Collaborate with product managers, designers, and researchers to define and ship AI-first features.
Prototype and iterate on intelligent workflows that solve real user problems.
Integrate LLMs and other AI systems into end-user applications via APIs and internal tooling.
Optimize inference pipelines for latency, cost, and user experience.
Use data-driven methods to evaluate and improve product performance and user impact.
Requirements
Strong engineering foundation with experience building user-facing products.
Proficiency in Python and frontend/backend development (e.g., React, FastAPI, Node.js).
Familiarity with deploying and integrating LLMs or AI APIs in production.
Ability to rapidly prototype, experiment, and iterate based on user feedback.
Strong communication skills and comfort working cross-functionally.
Embrace AI as a core part of how you work, think, and build.
Bonus Points
Experience in product engineering at an AI-native or fast-scaling startup.
Familiarity with A/B testing frameworks and product analytics tools.
Understanding of user behavior in AI-assisted interfaces (e.g., copilots, chat, search).
Background in UX design or a strong product sense.
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).
What is Zero-knowledge?
Zero-knowledge is a concept in cryptography that allows two parties to exchange information without revealing any additional information beyond what is necessary to prove a particular fact
In other words, zero-knowledge is a way of proving something without actually revealing any details about the proof
Here are some examples of zero-knowledge:
- Password authentication: When you enter your password to log into an online account, the server doesn't actually know your password. Instead, it checks to see if the hash of your password matches the stored hash in its database. This is a form of zero-knowledge because the server doesn't know your actual password, just the hash that proves you know the correct password.
- Sudoku puzzles: Suppose you want to prove to someone that you've solved a particularly difficult Sudoku puzzle. You could do this by providing them with the completed puzzle, but that would reveal how you solved it. Instead, you could use a zero-knowledge proof where you demonstrate that you know the solution without actually revealing the solution itself.
- Bitcoin transactions: In a Bitcoin transaction, you prove that you have ownership of a certain amount of Bitcoin without revealing your private key. This is done using a zero-knowledge proof called a Schnorr signature, which allows you to prove ownership of a specific transaction output without revealing the private key associated with that output.
- Secure messaging: In a secure messaging app, you can prove to your contacts that you have access to a shared secret without revealing the secret itself. This is done using a zero-knowledge proof, which allows you to prove that you have access to the secret without actually revealing what the secret is.