Support Engineer

About This Opportunity

Our talent team is representing a well-funded computer vision technology company serving over a million developers worldwide, including teams at half the Fortune 100. This organization provides tools that enable applications ranging from healthcare research to construction safety to environmental conservation.

We are seeking a Support Engineer to join their growing technical support function. This is an opportunity to work at the intersection of cutting-edge machine learning technology and customer success, providing consultative technical guidance to enterprise customers solving complex computer vision challenges.

Responsibilities

• Participate in the support team's on-call rotation, ensuring technical customer issues are resolved within contractual SLA commitments
• Serve as a consultative technical advisor to enterprise customers, understanding their business context and helping them optimize platform usage
• Troubleshoot issues across the full stack—from customer data pipelines and cloud infrastructure to model inference performance on edge devices
• Create technical content including documentation, videos, and knowledge base articles to capture best practices
• Collaborate with Sales, Solutions Architects, and Implementation Engineers to ensure continuity throughout the customer journey
• Identify opportunities to expand customer usage and provide feedback to inform product roadmaps
• Contribute to the continuous improvement of support processes, tooling, and knowledge management
• Stay current with product features and releases in the computer vision and machine learning space

What We're Looking For

Required Experience and Skills:

• 5+ years of experience with Linux and networking fundamentals (VPN, SSH, firewalls)
• Proficiency in scripting using Bash and Python
• Strong cross-stack troubleshooting abilities spanning cloud infrastructure, network connectivity, and diverse hardware environments
• Working knowledge of computer vision and machine learning pipeline practices, including data preparation, model training, and deployment on edge devices
• Excellent contextual problem-solving skills—ability to ask probing questions and understand the customer's business objectives
• Proven workload management capabilities, effectively prioritizing across multiple customer accounts based on impact and urgency
• Strong relationship-building skills, capable of establishing trust quickly even in high-pressure situations
• Experience translating complex technical concepts for diverse stakeholders
• Track record of proactive knowledge sharing and documentation
• Ability to identify patterns and contribute to process improvements

Bonus Qualifications:

• Experience with edge devices and camera integration (Nvidia Jetson, Raspberry Pi, webcams)
• Background in Technical Consulting, Solutions Architecture, or Professional Services
• Ability to articulate technical solutions in terms of business value and ROI
• Prior experience with computer vision platforms or open source ML projects

Work Environment:

• Location: Remote within the USA, with optional access to hubs in major cities
• Schedule: US daytime hours with participation in on-call rotation and queue coverage during business hours
• This role requires availability for some synchronous meetings each week

How We Work With You

Get A Job.ai specializes in connecting exceptional technical talent with leading technology companies. Here's our process:

• Apply directly through the Get A Job.ai platform with your resume and any relevant work samples
• Our recruiting team will conduct an initial screening to understand your background and career goals
• Qualified candidates will be submitted to our client for consideration
• We'll guide you through each stage of the interview process and provide feedback along the way
• Please do not contact the client company directly—all communication should flow through Get A Job.ai

To strengthen your application, consider including examples of technical documentation you've created, describing complex troubleshooting scenarios you've resolved, or sharing any experience with computer vision or ML technologies.

Pay

Compensation details will be discussed during the screening process based on your experience and qualifications.

Get A Job.ai is an equal opportunity recruiter. We welcome applicants from all backgrounds and are committed to building diverse, inclusive teams. We carefully consider every application and encourage you to apply even if you don't meet every qualification listed.