Research and design consensus algorithms and Layer 2 protocol upgrades. Implement and optimize protocol changes to improve scalability, performance, and security. Collaborate with researchers and engineers on cryptographic solutions and contribute to technical design discussions in a fast-paced blockchain R&D environment.
Summary: Join a leading New York-based crypto research and development lab specializing in Layer 2 scaling solutions. We are seeking a talented individual to research consensus algorithms and implement protocol upgrades, driving innovation in the blockchain space.
Responsibilities:
- Conduct in-depth research on consensus algorithms to enhance blockchain scalability.
- Design and implement protocol upgrades for Layer 2 scaling solutions.
- Collaborate with a team of experts to develop cutting-edge blockchain technologies.
- Analyze and optimize existing protocols to improve performance and security.
- Contribute to technical discussions and provide insights into cryptographic solutions.
Required skills:
- Strong background in Cryptography.
- Proficiency in programming languages such as Go or Rust.
- Experience with blockchain technologies and consensus mechanisms.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in a fast-paced research environment.
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm sales leads to consult customers on Property & Casualty insurance, match products to needs, close policies, and complete required licensing. Participate in paid remote training, follow work-at-home standards, work set shifts including weekends, and meet performance and sales targets.
Healthtech • Software
Lead and scale AI platform and agent engineering teams to build AI infrastructure, agent runtimes, MLOps/LLMOps, prompt and skills lifecycle management, and forward-deployed engineering for healthcare customers. Drive platform reliability, security, observability, enterprise integrations, and operational excellence to deploy AI-powered solutions at scale.
Top Skills:
Agent PlatformsAgent Runtime SystemsAi InfrastructureAi Observability And MonitoringAWSCloud-NativeDocument ProcessingKnowledge Ingestion PipelinesLlmopsMlopsPrompt Lifecycle Management
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead and oversee multiple multidisciplinary teams to architect, develop, deploy, monitor, and maintain full-stack AI solutions (including LLM integrations). Provide strategic and technical leadership, drive experimentation and CI/CD practices, ensure quality and stakeholder alignment, promote innovation, and mentor senior and junior team members to deliver business-aligned AI outcomes.
Top Skills:
AWSAzureCi/CdGitGoogle Cloud PlatformLangchainLlmsPandasPrompt EngineeringPythonPyTorchScikit-LearnSemantic KernelSQLVector Dbs
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



