Remote (Global)

Phaidra is hiring a Staff Software Engineer (Tech Lead)

About the Role

Staff Software Engineering Leader (Tech Lead) North America About Our Organization We are pioneering transformative industrial automation solutions. The current industrial landscape is characterized by static, rigid infrastructure where factories, power plants, and facilities operate using decades-old hard-coded control systems consisting of thousands of programmed rules and heuristics. Our mission is to create AI-powered control systems that enable industrial facilities to autonomously learn and continuously improve. Specifically: - We leverage reinforcement learning algorithms to convert raw sensor data into high-value operational decisions - We focus on industrial domains with comprehensive sensor networks and measurable performance indicators - We empower domain experts to configure AI control systems without requiring coding expertise Our team has a distinguished track record of applying AI to complex challenges. From achieving superhuman performance in strategic games to reducing data center cooling energy requirements by 40%, we possess deep expertise in production-grade AI implementation. Our organizational success is rooted in our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek professionals who embody these principles and contribute to a culture of excellence and mutual support. We operate globally with a 100% remote workforce, employing talent internationally across multiple countries. Position Overview We are seeking a driven Staff Software Engineer to lead our Product Engineering team's frontend development efforts. The ideal candidate will guide a small frontend engineering team, focusing on building web-based tools for industrial users. Location Requirements - United States: Specific state restrictions apply - Canada: Limited provincial options Key Responsibilities - Lead frontend engineering team - Provide technical direction and mentorship - Establish team standards and engineering best practices - Collaborate with designers, product managers, and cross-functional teams - Convert design specifications into pixel-perfect user interfaces - Maintain comprehensive code and architectural documentation Qualifications - 5+ years professional experience - Computer Science degree or equivalent - Advanced JavaScript and TypeScript skills - Expertise in React and modern frontend frameworks - Strong understanding of CSS3, HTML5 - RESTful API implementation experience - Frontend build tool proficiency - Excellent communication abilities - Alignment with organizational values Preferred Qualifications - Industrial control systems background - Enterprise SaaS product development experience - Backend language knowledge - WebSocket API familiarity Technology Stack Frontend: - React - TypeScript - React Testing Library - Playwright Backend: - Go - Python - PyTorch - Microservices Infrastructure: - Docker, Kubernetes - Cloud platforms Onboarding Journey First 30 Days: - Comprehensive organizational introduction - Team interaction and process learning - Development environment setup - Initial project familiarization First 60-90 Days: - Deep organizational understanding - Cross-team relationship building - Initial production contributions - Operational knowledge acquisition Compensation United States Salary Range: - Metropolitan Areas: $176,400 - $215,600 - Other Regions: $145,800 - $200,200 Benefits - Fully remote work environment - Competitive compensation - Meaningful equity - Professional development opportunities - Comprehensive insurance - Unlimited paid time off - Workspace and well-being stipends - Company-provided equipment Equal Opportunity Employer committed to maintaining an inclusive, diverse workplace.

Required Skills
ReactTypeScriptJavaScriptCSS3HTML5RESTful APIsFrontend build toolsWeb developmentTeam leadershipCode review
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About company
Phaidra

Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. They use reinforcement learning algorithms to convert raw sensor data into high-value actions and decisions.

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Job Details
Category frontend
Posted 4 months ago