Want to get hired at Crossing Hurdles?
Software Engineer
Crossing Hurdles
HybridHybrid
Original Job Summary
Overview
Crossing Hurdles is a recruitment firm referring top candidates to world leading AI research labs. As a Software Engineer, you will collaborate with AI research teams and work on next-generation machine learning applications.
Role & Responsibilities
- Utilize coding agents such as Codex and Claude code for real-world coding tasks.
- Collaborate with AI research teams to build robust, high-performance systems.
- Contribute to open source projects and maintain personal projects on GitHub.
- Communicate clearly with team members through written and verbal means.
Requirements
- Extensive experience using coding agents in software engineering workflows.
- Fluency in JavaScript/TypeScript, Rust, and Python.
- Strong portfolio of open source contributions and personal projects.
- Excellent attention to detail and rigorous problem-solving abilities.
- Strong written and verbal communication skills.
Contract Details
- Hourly Contract with compensation between $70 and $90/hour
- Remote work
- Duration: Minimum 2 weeks with potential extension
- Commitment: Flexible 10–20 hours/week, potentially increasing to 40 hours
Application Process
- Upload your resume
- Complete an AI interview based on your resume (15 min)
- Submit the application form (approximately 20 min)
Key skills/competency
Rust, JavaScript, TypeScript, Python, coding agents, AI research, open source, communication, problem-solving, collaboration
How to Get Hired at Crossing Hurdles
🎯 Tips for Getting Hired
- Customize Resume: Tailor experiences to AI and coding skills.
- Research Crossing Hurdles: Review their mission and recent projects online.
- Emphasize Open Source: Highlight GitHub contributions and projects.
- Prepare for AI Interview: Practice talking about coding agents and technical skills.
📝 Interview Preparation Advice
Technical Preparation
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Review coding agent workflows and usage scenarios.
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Brush up on Rust, JavaScript/TypeScript, and Python.
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Practice coding tasks on sample codebases.
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Study AI research lab tools and integrations.
Behavioral Questions
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Describe effective remote teamwork experiences.
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Explain handling coding challenges under pressure.
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Discuss collaboration with diverse technical teams.
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Share your approach to continuous learning.