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Location: Remote Wormhole Labs is a pioneering blockchain technology company building decentralized systems for a freer and fairer global economy. We're reshaping financial infrastructure across the entire crypto stack, from core protocol development to trading systems and user-facing applications. At our core, we're technology innovators bridging traditional finance with the emerging possibilities of crypto. Our seasoned team leverages deep technical expertise to develop solutions that advance the industry. We're seeking talented individuals who share our vision, and have the technical prowess to help build it — join us! As a Solana Protocol Engineer at Wormhole Labs, you will make significant contributions to Wormhole’s ecosystem of programs and protocols on Solana. You will either drive or partner with domain experts on the entire lifecycle of protocol development, including ideation, design, implementation, security review, and deployment. WHAT YOU WILL DO - Contribute to the design, implementation, testing, and security review of Wormhole’s core Solana programs and to protocols expanding to Solana. - Collaborate with cross-functional teams to gather customer requirements, analyze business needs, and translate them into smart contract code. - Follow best practices for secure smart contract development and build future best practices alongside Wormhole security researchers. - Stay up to date with the latest in Solana tooling, best practices, and industry trends. THE IDEAL CANDIDATE WILL - Have deep experience writing production Solana programs. Alternatively, you’ve written production Rust for applications with millions of users. - Be high agency and effect the outcomes they wish to see. - Care deeply about the business outcomes of your work and challenge priorities when the business impact is unclear. - Have a Bachelor's degree in Computer Science, Engineering, or a related field, although equivalent practical experience will also be taken into consideration. WE PROVIDE - Competitive salary and restricted token units, dependent on position type and location. - Unlimited time off, healthcare premium reimbursement, and 401K. - Top-of-the-line MacBook Pro laptop. - Flexibility of working from wherever you have work authorization, as long as you can work 10-6PM US Eastern Time. We minimize unnecessary meetings, but building decentralized systems requires synchronous communication. NOTE: THIS IS A SENIOR-LEVEL ROLE. WE WILL ONLY RESPOND TO APPLICANTS THAT MEET OUR REQUIREMENTS. IF WE DON’T RESPOND, PLEASE ASSUME A POLITE DECLINE FOR NOW.

Location: Mountain View, California, USA Workplace: Hybrid About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Foundation models: training, new architectures, RL, reward modeling, scaling - Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis - Frontier topics: multimodal models, agents, tool use, test-time compute, world models - Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI - PhD in ML/NLP — or equivalent practical experience you can point to - Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions - Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result If you learned through building, competitions, or collaborations outside academia, that counts. We care about evidence, not credentials. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go - You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output - You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core problem - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet" and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office. The base salary range for this full-time position is $270,000 - $500,000+ bonus + equity + benefits. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Remote - Worldwide About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The Security Services Team OpenZeppelin's Security Services team is responsible for the security of the world's leading web3 protocols and top financial institutions building onchain. Our researchers partner with client teams across the full lifecycle of a protocol: working on architecture and design before any code is written, co-creating novel mechanisms and primitives with engineering teams, conducting deep audits of pre-launch codebases, and providing continuous coverage as production systems evolve. Our clients range from emerging projects shipping their first contracts to global financial institutions running production onchain systems at scale. What you'll be doing Review smart contracts for top decentralized applications, blockchain infrastructure and financial institutions before they launch. Find vulnerabilities, prioritize them, and present findings to the client. Drive audits independently from start to finish, with AI as your primary collaborator. When useful, partner with another researcher to attack the code together and pressure-test findings. Partner with client teams during the design phase of new protocols, analyzing architecture, trust assumptions, and operational constraints before any code is written (Design Reviews, Applied Research engagements). Use AI efficiently throughout the audit process, and build skills, agents, and workflows that compound across the team. Conduct open-ended research into cutting-edge blockchain technologies, vulnerability classes, and emerging attack vectors, and contribute findings back to OpenZeppelin's internal knowledge base and to the broader ecosystem. You have Hands-on and practical experience in one or more of the following: software development, cybersecurity, applied mathematics, distributed systems, cryptography, cryptoeconomics or game theory, or DeFi mechanisms. Experience designing and developing smart contracts, not only auditing them. Strong working knowledge of Solidity and the broader Ethereum / EVM ecosystem (common libraries, frameworks, smart contract patterns). Modern AI tooling is central to how you work, not a novelty. You use it daily to expand audit coverage, reason about complex systems, and produce high-quality outputs faster. You evaluate AI-generated code with a critical eye. Comfort building and extending your own tooling (skills, agents, prompts, scripts, or full workflows) that the rest of the team can adopt and build on. An advanced English level and strong communication skills (oral and written). Nice to have Experience with non-EVM ecosystems and languages, such as Canton, Move (Sui, Aptos), Golang (Cosmos SDK), Cairo (Starknet), Rust-based blockchains (Solana, Stellar), or ZK circuits and cryptography-heavy systems. Experience with risk assessment work in the crypto industry (smart contract risk assessment, threat modeling). Working hand-in-hand with protocol teams on co-creative engagements, helping design, specify, and implement smart contracts alongside the research. Web2 security expertise (penetration testing, web application security, infrastructure security, or appsec). Experience with formal verification, invariant testing, or advanced fuzzing tools (Echidna, Foundry, Halmos, Certora). A track record in audit contests (Code4rena, Sherlock, Cantina) or bug bounty platforms (Immunefi, HackerOne). Public security research output, such as published findings, blog posts, conference talks, or contributions to open-source security tooling. Logistics Our interview process takes place on Google Meet and tends to consist of the following stages: Recruiter call (30 minutes) Manager interview (60 minutes) Technical interview (60 minutes) Paid work trial (paid code review assessment) Reference checks Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance. Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.