Machina

Research Scientist

• Develop and maintain high-fidelity simulation environments for software build systems and remote execution processes
• Implement performance models for build caching, task distribution, and system coordination in large-scale development environments
• Create virtual testbeds for optimizing software compilation, testing workflows, and CI/CD pipeline automation
• Integrate multi-agent simulation for real-time task coordination and resource allocation across distributed build systems
• Work with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) frameworks to validate build performance in real-world conditions
• Optimize simulation workflows to validate build efficiency, cache hit rates, and task execution accuracy
• Collaborate with the engineering, AI, and product teams to ensure consistency between simulation and real-world software builds

Simulation Research Scientist

Artificial Intelligence

• Conduct research into AI safety, focusing on robustness, fairness, and interpretability of machine learning models used in build systems
• Develop algorithms and frameworks that ensure the safe deployment of AI-powered automation in software build, testing, and CI/CD workflows
• Work closely with engineering teams to integrate AI safety mechanisms and ensure robust error handling and fault tolerance
• Investigate and mitigate risks associated with AI-driven decision-making in distributed build systems, especially in mission-critical operations
• Contribute to the development of safety-critical AI models for optimizing performance, caching accuracy, and task coordination across various customer environments
• Conduct studies on the ethical implications of AI in software development, ensuring that algorithms used in NativeLink align with responsible AI principles
• Perform in-depth testing, model validation, and risk assessment to ensure AI systems meet reliability and safety standards
• Collaborate with product managers and engineers to translate research findings into practical tools and features for our customers

AI Safety Researcher

Engineer

• Act as the primary technical consultant for clients, working directly with them to understand their build infrastructure and processes
• Assess customer build systems and provide expert recommendations on how to optimize them using NativeLink’s build caching and remote execution solutions
• Configure and integrate NativeLink into customer environments, including both on-premise and cloud-based setups
• Troubleshoot and resolve issues related to build performance, caching, and execution across various environments
• Work with clients to define success criteria, track project milestones, and deliver measurable results
• Collaborate with product development and engineering teams to provide customer feedback and help improve NativeLink
• Conduct training and workshops for clients to help them understand and utilize NativeLink to its full potential
• Provide ongoing support to clients, including troubleshooting, performance tuning, and optimization recommendations
• Document best practices, case studies, and solutions for future reference and sharing with the broader team
• Stay current with industry trends and emerging technologies related to build systems, CI/CD, and remote execution

Consulting Build Engineer

Full-stack Engineer

• Design, develop, and maintain full-stack applications across multiple areas of the NativeLink platform
• Work on both backend and frontend tasks, with the flexibility to shift focus based on project needs
• Build and scale high-performance systems that improve software compilation, testing, and infrastructure management
• Collaborate with other engineers to solve complex technical challenges and improve system performance
• Develop, test, and deploy new features that enhance the NativeLink user experience and performance
• Troubleshoot, debug, and optimize existing systems for scalability, reliability, and performance
• Participate in code reviews, knowledge sharing, and mentorship within the engineering team
• Contribute to our agile development processes, including sprint planning and retrospectives

Senior Software Engineer

Developer Relations

• Engage with the Swift Community: Represent Trace Machina across developer forums, including Stack Overflow, Reddit, Dev.to, GitHub, and Swift-related forums.
• Content Creation: Produce high-quality technical content such as blog posts, tutorials, documentation, and educational videos to help developers get the most out of NativeLink, specifically for Swift projects.
• Public Speaking: Speak at Swift and iOS development conferences, meetups, and webinars, showcasing how NativeLink can accelerate build times and improve the development lifecycle for Swift developers.
• Program Development: Design community outreach initiatives like hackathons, challenges, and ambassador programs to encourage Swift developers to contribute to our open-source projects.
• Collaboration: Work closely with internal teams to relay community feedback, help shape the future development of NativeLink, and ensure it aligns with the needs of the Swift community.
• Metrics and Reporting: Track key community engagement metrics and report on community-driven activity, trends, and contributions.

Developer Advocate – Swift

People Operations

• Lead the development and execution of recruitment strategies to attract and hire top-tier talent across all functions. Work closely with hiring managers to ensure a smooth and efficient hiring process.
• Foster a positive, inclusive, and transparent work culture where employees feel valued, motivated, and engaged. Develop strategies for employee retention and career development.
• Oversee day-to-day HR operations, including onboarding, performance management, compensation and benefits, and compliance. Ensure the company’s HR practices are aligned with its goals and values.
• Partner with the executive team to identify leadership development needs, create programs for leadership growth, and establish a performance feedback system that aligns with Trace Machina’s culture and values.
• Champion Trace Machina’s culture by embedding company values into every aspect of the employee experience. Lead efforts to build and maintain a positive, high-performance, and transparent work environment.
• Advise leadership on people-related issues, providing data-driven insights and recommendations to improve workforce planning, organizational design, and employee engagement.
• Build and implement scalable HR systems and processes that can support Trace Machina’s growth as we expand our team and operations.

Head of People

Data Scientist

• Design, implement, and deploy machine learning models to optimize software build systems, including caching, task distribution, and execution workflows
• Work with large datasets to identify patterns, anomalies, and insights that inform decisions for improving build processes and remote execution
• Develop predictive models to optimize build times, cache hit rates, and system resource utilization
• Conduct experiments to improve the efficiency of build systems through data-driven decisions, leveraging AI/ML techniques such as reinforcement learning and optimization
• Collaborate with cross-functional teams (engineering, product, and operations) to translate business problems into AI/ML-driven solutions
• Analyze customer usage data to identify opportunities for feature improvements and innovations within the NativeLink platform
• Develop custom algorithms for performance monitoring, anomaly detection, and optimization of CI/CD pipelines
• Build, test, and validate machine learning models using a variety of techniques, ensuring they are scalable, robust, and interpretable
• Build and maintain data pipelines to support model training, testing, and deployment in production environments
• Communicate findings and insights to both technical and non-technical stakeholders in a clear and actionable way

Data Scientist – AI/ML

• Engage the Community: Represent Trace Machina across multiple forums including Stack Overflow, Reddit, Dev.to, GitHub, and Discord, providing support and gathering feedback from developers on how they are using NativeLink.
• Content Creation: Develop technical documentation, write blog posts, and create educational videos that help developers understand and effectively use NativeLink in their workflows. Your content will be designed to foster engagement and showcase the value of our product.
• Public Speaking: Represent Trace Machina at conferences, meetups, and other industry events by giving talks, hosting workshops, and engaging with developers live. You’ll also create webinars and live coding sessions to foster learning.
• Program Development: Design and implement community outreach programs, such as developer challenges, hackathons, and ambassador programs, that encourage community members to contribute to our open-source projects and share their experiences with NativeLink.
• Advocacy and Collaboration: Work closely with our internal teams to relay developer feedback and identify areas where NativeLink can improve. Partner with external influencers and industry leaders to extend our community reach.
• Metrics and Reporting: Track and analyze community engagement metrics, and provide regular reports to leadership on trends, opportunities, and the overall impact of advocacy efforts.

Developer Advocate – C++, Rust, Autonomous Robotics, Futuristic Technologies

Frontend Engineer

• Design, develop, and maintain scalable full-stack applications using TypeScript and Go
• Write clean, maintainable, and reliable code while adhering to best practices and industry standards
• Develop both frontend and backend systems that integrate seamlessly with NativeLink’s build caching and remote execution services
• Implement and optimize performance, security, and scalability for all systems
• Collaborate closely with cross-functional teams to deliver high-quality software that meets customer needs
• Develop and maintain APIs and services that interact with our core infrastructure
• Ensure code quality by conducting code reviews, implementing testing frameworks, and maintaining thorough documentation
• Troubleshoot and resolve issues across the entire stack, ensuring minimal downtime and system failures
• Optimize code for maximum performance and scalability across multiple environments
• Participate in Agile development processes, including sprint planning, daily standups, and retrospectives
• Mentor and provide technical guidance to junior engineers to foster a collaborative and high-performance team environment