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Staff Solutions Engineer
Jobgether
HybridHybrid
Original Job Summary
Staff Solutions Engineer
This role, posted by Jobgether on behalf of Hayden AI, is perfect for a highly skilled engineer with a passion for designing, implementing, and optimizing complex technical systems.
You will work on cutting-edge AI and computer vision projects while collaborating with cross-functional teams in software, hardware, and operations. This fully remote position in the United States offers flexibility and autonomy while contributing to mission-critical solutions.
Accountabilities
- Design, develop, and implement technical solutions across platforms.
- Collaborate with cross-functional teams for scalable, secure systems.
- Provide technical leadership on AI, computer vision, and systems projects.
- Participate in architecture reviews, technical planning, and code development.
- Troubleshoot complex issues across hardware, software, and cloud.
- Contribute to documentation, best practices, and internal training.
Candidate Requirements
- Experience as a solutions engineer or similar role.
- Deep understanding of AI, computer vision, or related fields.
- Proficiency in programming languages like Python, C++, or equivalent.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and collaboration abilities.
- Experience in government contracting or regulated environments (plus).
Benefits & Package
- Competitive salary with equity and bonus opportunities.
- Fully remote work arrangement.
- Medical, dental, and vision coverage.
- 401(k) with 3% company match.
- Unlimited PTO and generous leave policies.
- Professional development and learning opportunities.
Key skills/competency
- AI
- Computer Vision
- Solutions Engineering
- Cloud
- Software
- Hardware
- Technical Leadership
- Collaboration
- Troubleshooting
- Scalability
How to Get Hired at Jobgether
🎯 Tips for Getting Hired
- Research Hayden AI's culture: Study mission, values, and employee reviews.
- Customize your resume: Highlight AI, computer vision, and systems skills.
- Showcase technical projects: Emphasize relevant technical challenges.
- Prepare for technical interviews: Review architecture and troubleshooting scenarios.
- Network on LinkedIn: Connect with current employees for insights.
📝 Interview Preparation Advice
Technical Preparation
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Review AI algorithms and computer vision fundamentals.
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Practice coding in Python and C++.
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Study cloud architecture and security protocols.
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Solve system design and troubleshooting problems.
Behavioral Questions
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Describe past team collaboration experiences.
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Explain your approach to problem solving.
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Discuss handling conflict in cross-team projects.
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Detail times you adapted technical strategies.