Pre-Sales Technical Engineer Intern

About cynapse.ai

cynapse.ai is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, cynapse serves clients worldwide, redefining what's possible with video intelligence.
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About The Role

We’re looking for a technically oriented Pre-Sales Technical Engineer Intern to join our Pre-Sales Engineering team. You’ll support hands-on technical work — preparing demo and POC environments, maintaining our hardware sizing tools, and coordinating with engineering teams to keep pre-sales systems aligned with the latest platform capabilities.

Successful interns may be offered a full-time permanent position at cynapse.ai at the end of the internship period.
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What You’ll Do

• Prepare and test demo and POC environments for customer engagements
• Maintain and update our hardware sizing calculator based on technical changes from CV and DevOps teams
• Coordinate with cross-functional teams to understand platform updates and reflect them in pre-sales tools and documentation

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Internship Intake Periods

We are currently seeking interns for:

• November/December 2026 – May 2027

Please indicate your preferred internship period and availability when submitting your application.
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What We’re Looking For

• Currently pursuing or recently completed a degree in Computer Science, Computer Engineering, or related field
• Comfortable with hands-on technical work — system setup, testing, troubleshooting
• Proficient in Excel (formulas, logic, data validation)
• Basic understanding of system architecture (servers, GPUs, storage, networking)
• Familiarity with Linux command line
• Strong attention to detail
• Good communication skills — able to work across teams

Nice to Have

• Exposure to Docker or containerized environments
• Basic understanding of AI/ML inference or GPU computing
• Experience with video systems or CCTV
• Familiarity with cloud platforms (AWS, Azure, GCP)

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Internship Details

• Duration: Minimum 6 months
• Commitment: 4–5 days per week (Preferably 5 days per week)
• Location: Singapore-based.

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Benefits:

• Unique opportunity to work with a talented global team on cutting-edge technologies
• Exciting work environment with flexible hours

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Note: Due to the nature of the role, the position is considered for only candidates who are based in Singapore or have experience studying/working in Singapore