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Code Metal

Optimizes research code for edge deployment

IP and Regulatory Counsel

Intellectual Property (IP)Confirmed live in the last 24 hours
Full-time$180k - $230k /yrHybrid

About the Job

Requirements

  • A J.D. from an accredited law school and active membership in good standing with the bar of the state where the office is located (California, the District of Columbia, or Massachusetts), or eligibility to register as in-house counsel in one of those jurisdictions.
  • Four to eight years of relevant patent and trademark experience; experience in both law-firm and in-house work is ideal. More senior candidates are encouraged to apply, and the role may be scoped to experience.
  • Registration to practice before the United States Patent and Trademark Office; the role involves direct drafting and prosecution.
  • A degree in computer science, electrical or computer engineering, mathematics, or a related technical field, plus demonstrated experience drafting and prosecuting software or artificial intelligence patent applications.
  • Experience with intellectual property transactional work, including licensing, portfolio management, and due diligence.
  • Drafting, negotiation, analytical, and communication skills, with the ability to give clear, timely guidance to engineers and business stakeholders.
  • Ability to learn independently, contribute across a broad startup legal function, and manage multiple priorities and stakeholders.
  • Must be a U.S. Person because the role requires access to U.S. export-controlled information under ITAR/EAR.

Responsibilities

  • Build and manage the company's global patent and trademark portfolios, including filing strategy, prosecution, docketing and renewal management, and portfolio decisions across the United States and key international markets.
  • Draft and prosecute patent applications covering software, artificial intelligence and machine learning systems, compilers, code translation, verification methods, and related technologies; respond to USPTO office actions, including subject-matter eligibility rejections.
  • Work with Engineering and Research on invention disclosures, patentability assessments, and selecting protection for each asset, including patents, trade secrets, copyright, or defensive publication; help run the patent review process.
  • Advise on export-control compliance under ITAR and the EAR, including jurisdiction and classification of software, models, and technical data; own classification requests, license applications, and technology control plans, and manage outside specialists as needed.
  • Advise on artificial-intelligence regulation, including federal and Department of Defense policy, state AI laws, and international frameworks such as the EU AI Act; turn developments into practical guidance for product and go-to-market decisions.
  • Review marketing, sales, and proposal materials and support claims substantiation so descriptions of technology performance, accuracy, and verification capabilities are accurate and defensible.
  • Own data-rights assertions, markings, and intellectual-property protection strategy under FAR, DFARS, and SBIR/STTR, working with Commercial Counsel on negotiating those terms.
  • Prepare, review, negotiate, and administer intellectual-property agreements, including patent and technology licenses, joint development and sponsored research agreements, CRADAs and collaborations with federal labs and universities, confidentiality agreements, and intellectual-property assignments.
  • Conduct intellectual-property due diligence for acquisitions, partnerships, and strategic investments, and support post-close integration of acquired intellectual property.
  • Conduct freedom-to-operate analyses and trademark clearance for new products, features, and brand names, and advise the business on the results.
  • Maintain confidentiality, invention-assignment, and trade-secret protection infrastructure, including open-source use policies and controls on AI training data and model outputs.
  • Support brand protection, including trademark oppositions, domain disputes, and enforcement actions.
  • Advise on infringement risk, enforcement strategy, and defense against third-party claims, and support PTAB proceedings and litigation as needed.
  • Select and manage outside patent, trademark, export-control, and litigation counsel, owning scope, quality, and budget.
  • Develop corporate intellectual-property and regulatory-compliance policies, and deliver practical training to technical and commercial teams.
  • Monitor third-party filings and developments in intellectual-property law, export controls, and AI and technology policy, and proactively advise the business on resulting risks and opportunities.

Desired Qualifications

  • A combination of law-firm and in-house or government experience.
  • Experience at, or advising, a technology, defense, aerospace, or hardware company, and comfort working alongside engineers and technical teams.
  • Familiarity with procurement vehicles and frameworks such as GSA schedules, GWACs, IDIQs, BPAs, OTAs, and SBIR/STTR, and with subcontracting structures.
  • Familiarity with cybersecurity and compliance frameworks such as FedRAMP, CMMC, and NIST SP 800-171, and with DFARS cybersecurity clauses.
  • Experience advising on export controls (ITAR/EAR), data rights, and government software licensing.
  • An independent interest in the law and policy of defense acquisition and national-security technology, including perspectives on areas for improvement.

About the Company

Code Metal

Optimizes research code for edge deployment

CodeMetal.ai provides a SaaS platform that turns research code into optimized, edge-ready low-level code. It serves academia, defense, and tech sectors in AI and machine learning. Users upload code written in Python, Julia, or MATLAB, pick target deployment chipsets, and the platform automatically optimizes the code and adapts it to chosen runtimes, iteratively improving performance. This approach differentiates CodeMetal.ai by offering multi-language support, chipset-aware optimization, and runtime adaptation within a cloud-based service, enabling users to deploy efficient code on edge devices without manual low-level tuning. The company's goal is to help clients run more efficient AI/ML workloads on edge hardware by converting high-level research code into fast, platform-optimized implementations via subscriptions and usage-based pricing.

Company size
51-200
Company stage
Series B
Total funding
$177.7M
Headquarters
Boston, MA
Founded
2023

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