As a software engineer on this team, you will:

• Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query
• Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis
• Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work
• Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly
• Collaborate with adjacent teams to build on existing systems rather than reinventing them

You may be a good fit if you have significant software engineering experience, particularly building data-intensive applications or internal tooling. You should enjoy working directly with users, gathering requirements iteratively, and shipping things that get adopted. You should also be results-oriented, with a bias towards flexibility and impact.

Strong candidates may also have experience with large-scale ETL, columnar storage formats, and query engines, high-volume time series data, data cataloging, lineage, or metadata management systems, ML experiment tracking or metrics platforms, complex data visualization, and full-stack web application development.

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Beyond hands-on development, you will serve as a technical leader: guiding component architecture, mentoring engineers, and driving initiatives that raise the bar for UI quality and frontend engineering practices. This role requires strong ownership, deep problem-solving skills, and excellent communication. You will operate in a small, highly collaborative team where clarity, accountability, and impact matter.

Hands-on experience building AI-powered features and using AI tools to improve engineering productivity is required.

Key Responsibilities:

• Lead by example: contribute high-quality React code and set the standard for frontend craftsmanship across the platform
• Shape architecture: design scalable component systems, state management patterns, and frontend infrastructure that support long-term growth
• Mentor engineers: coach and support teammates through code reviews, design discussions, and problem-solving
• Own complex problems: drive investigation, debugging, and resolution of performance, rendering, and scalability challenges
• Drive execution: translate product and design requirements into clear technical designs and well-scoped Jira tickets
• Collaborate cross-functionally: work closely with product, design, and backend partners to deliver impactful, end-to-end solutions
• Establish best practices: improve standards around code quality, accessibility, performance, and reliability
• Champion improvement: introduce new tools, patterns, or approaches , including AI-enabled workflows , where they add real value

Requirements:

• 7+ years of professional software engineering experience, with a strong focus on building and owning modern frontend applications
• Deep expertise in React and modern JavaScript/TypeScript, including component architecture, state management, and frontend application design
• Experience using AI-assisted development tools such as Claude Code or Cursor to accelerate frontend development and improve engineering productivity
• Strong product and design sensibility, with a high bar for UI quality, usability, consistency, and craft
• Proven track record designing frontend architectures that scale across teams, products, and complex user workflows
• Strong knowledge of performance optimization, accessibility, responsive design, and modern frontend best practices
• Deep debugging and problem-solving skills in browser-based applications, with the ability to quickly identify and resolve issues across frontend-backend boundaries
• Proficiency with GitHub-based development workflows, including pull requests, code review practices, branching strategy, and CI/CD automation using GitHub Actions
• Ability to work effectively with backend systems and APIs, contributing where needed while keeping frontend excellence as the primary focus
• Experience as a technical leader who can drive frontend direction, mentor engineers, and raise the quality bar across the team
• Excellent communication skills and the ability to work closely with design, product, and engineering partners

Nice to Have:

• Experience building or integrating AI-powered features
• Familiarity with LangGraph, LangChain, or similar agent-based frameworks
• Experience with data-rich UIs: dashboards, analytics, or complex data visualization
• Background in design systems or shared component libraries
• Experience with Cypress or end-to-end testing frameworks
• Background in DevOps and CI/CD practices

Within Your First 6 Months:

• 1 Month , Ramp up on systems, ship initial contributions, and build context across the platform and team.
• 3 Months , Own features end-to-end, mentor peers, and influence frontend architecture decisions.
• 6 Months , Lead a major frontend initiative, establish guardrails, and raise the bar on performance, scalability, and engineering practices , including thoughtful use of AI where valuable.

Our Values:

• Humble experts
• Hungry for the opportunity
• Intellectually honest
• Operating as one happy team

Awesome Benefits:

• Discretionary time off & sick days
• Paid holidays
• Health insurance
• 401(k) with employer matching
• Quarterly All-Hands meetings
• And much more!

We are proud to be an equal opportunity workplace committed to building a team culture that celebrates learning, diversity and inclusion.

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The core products developed by the Hivemind organization target multiple user personae, ranging from the external end-user (the “Operator” of autonomous systems), to the Test engineer (who tests and evaluates autonomous systems in software-in-the-loop, hardware-in-the-loop and real-world flight test environments), to the AI engineer (who develops and tests autonomy architectures).

Significant portions of the product are best described as developer facing software product (i.e. SDKs, CLIs) and require contribution from designers that have relevant experience. Other portions of the product leverage web technologies and UIs to support configuration management, scenario design, mission planning, mission rehearsal, debrief, and test and evaluation process.

As such, Hivemind is a highly complex and technical product that enables complex workflows across multiple collaborating teams.

Responsibilities:

• Lead end-to-end design for high-impact product areas, from strategy and concept to final implementation.
• Drive and uphold design quality through strong ideation, systems thinking, and refinement of shared design standards.
• Partner closely with Product, Engineering, and Customer Experience to define product direction and user needs.
• Facilitate design strategy workshops and collaboration to drive alignment and momentum.
• Influence cross-functional planning, roadmap prioritization, and long-term product vision through design shaping rituals.
• Advocate for the user experience in company-wide discussions; help shape how product success is defined.
• Mentor other designers through feedback, partnering and thought leadership.
• Lead design reviews to collect feedback from engineering, product and customer surrogates, and align features and capabilities

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