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Smart Contract Engineer Jobs in Santa Rosa, CA (NOW HIRING)

Data Engineer (Founding Team)

Bodega Bay, CA · On-site

$135K - $163K/yr

Create and manage data contracts, access layers, lineage, and governance mechanisms * Build and ... smart as the data they operate on. This role builds the foundation -- the semantic, governed ...

Office is within walking distance of terrific restaurants, shopping, and the Downtown SMART Station ... consulting contracts. * Provides direct supervision to professional, technical engineering and ...

Smart Contract Engineer information

See Santa Rosa, CA salary details

$41.5K

$126.7K

$209.4K

How much do smart contract engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for smart contract engineer in Santa Rosa, CA is $126,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $165,600.00 per year, depending on experience, location, and employer.

What is a smart contract engineer?

A Smart Contract Engineer is a software developer who specializes in designing, developing, testing, and deploying smart contracts on blockchain platforms such as Ethereum. These professionals write code—often in languages like Solidity or Vyper—that runs autonomously on the blockchain and governs transactions or agreements without the need for intermediaries. They also focus on security, auditing, and optimizing smart contract performance to prevent vulnerabilities. Smart Contract Engineers typically collaborate with blockchain architects, front-end developers, and project managers to build decentralized applications (dApps).

What are the key skills and qualifications needed to thrive as a smart contract engineer?

To thrive as a Smart Contract Engineer, you need strong proficiency in blockchain fundamentals, programming languages like Solidity or Vyper, and a solid understanding of cryptographic principles, usually backed by a degree in computer science or related experience. Familiarity with blockchain development frameworks (e.g., Truffle, Hardhat), version control (Git), and security auditing tools is essential. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for this role. These skills ensure the development of secure, efficient, and reliable smart contracts that underpin decentralized applications and financial systems.

What are some common challenges smart contract engineers face when ensuring contract security?

Smart Contract Engineers often encounter challenges related to identifying and mitigating vulnerabilities such as reentrancy attacks, integer overflows, and unauthorized access. Since smart contracts are immutable once deployed, engineers must rigorously test and audit their code to prevent costly errors or exploits. Collaborating with auditors, using established security frameworks, and staying updated on the latest security threats are essential practices to maintain robust and secure smart contracts.

What is the difference between Smart Contract Engineer vs Blockchain Developer?

AspectSmart Contract EngineerBlockchain Developer
CredentialsKnowledge of blockchain platforms, Solidity, cryptographyBroader programming skills, blockchain fundamentals
Work EnvironmentFocus on smart contract coding, testing, deploymentDeveloping blockchain applications, protocols
Industry UsagePrimarily in DeFi, NFT, and dApp projectsWide range including wallets, exchanges, dApps
Search IntentComparing smart contract roles, coding specificsBroader blockchain development roles

While both roles work within the blockchain industry, a Smart Contract Engineer specializes in designing, coding, and deploying smart contracts on blockchain platforms. A Blockchain Developer has a broader scope, including developing entire blockchain applications and protocols. The Smart Contract Engineer's focus is more technical and contract-specific, whereas the Blockchain Developer's role encompasses a wider range of blockchain solutions.

How to become a smart contract engineer?

A smart contract engineer develops and deploys blockchain-based contracts, requiring knowledge of blockchain platforms like Ethereum, programming languages such as Solidity or Vyper, and understanding of cryptography and decentralized systems. Gaining experience through coding projects, online courses, and certifications can help build relevant skills. Familiarity with development tools like Remix, Truffle, or Hardhat is also beneficial.

What cities near Santa Rosa, CA are hiring for Smart Contract Engineer jobs?

Cities near Santa Rosa, CA with the most Smart Contract Engineer job openings:

AI Researcher - Frontiers & Reasoning

Logical Intelligence

Santa Rosa, CA • On-site

Other

Posted 21 days ago


Job description

Logical Intelligence, we're revolutionizing software development with AI-powered formal verification. We've developed groundbreaking agents that provide mathematical guarantees of code correctness, ensuring that software behaves exactly as intended while proactively identifying bugs and security vulnerabilities. Our novel foundation model enables scalable, precise reasoning for formally verifiable code across Rust, Golang, and smart contract VMs. We’ve won a well-known formal verification benchmark called PutnamBench, which consists of 672 hard math problems from the William Lowell Putnam Exam, the oldest collegiate mathematics competition in North America. Backed by a world-class team – including ICPC champions, a Fields Medalist and an ACM Turing Award winner – we're building the future where all code is provably correct.



About the role

Join our team as an AI Research Engineer and help us push the boundaries of what's possible in logical reasoning! We’re looking for a motivated individual to build, maintain, and improve innovative approaches including (but not limited to!) energy-based modeling (EBM). You'll be at the forefront of designing and refining algorithms that go beyond the capabilities of traditional Large Language Models (LLMs), tackling complex reasoning challenges. You'll work closely with a talented team of AI experts, EBM specialists, formal verification engineers, and software developers to create groundbreaking solutions.



What you'll do

  • Research new reasoning algorithms and models
  • Pre-train and fine-tune the State-of-the-Art LLMs
  • Combine Reasoning algorithm and LLMs
  • Build effective and efficient ML pipelines
  • Collaborate with other teams to understand their pain points and priorities to define milestones of the corresponding roadmaps
  • Derive practical solutions and integrate them with the results of other teams to provide the best overall resolution.



Qualifications

  • M.Sc. or Ph.D. (preferable) focusing on one or more of the following areas: Computer Science, Artificial Intelligence, Mathematics, or a closely related field
  • 5+ years of subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Reasoning, Energy-based Modeling (preferable)
  • Expertise in programming languages and tools critical for high-performance computing in Python/C++ and machine learning including Deep Learning frameworks like PyTorch /TensorFlow/JAX
  • Strong communication and teamwork skills
  • Experience with explicit and implicit reasoning
  • Demonstrated research publications in any of the major conferences (CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, ACL, etc.


Bonus Points

  • Provable record of Energy-based usage for different problems
  • Hands-on with algorithms used to train Energy-based models
  • Multi-node and multi-GPU training
  • Mathematical Reasoning – discrete math and logic
  • Formal Verification - lean