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STEP 1:

Please click the link to submit your application directly to the company: 

Careers

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STEP 2:

Kindly scroll to the bottom of this page and complete the short VinUni Tracking Form.

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Description

• Work–learn model: 50% hands-on execution on real company projects, 50% deep, structured training aligned with Individual Development Plan (IDP)
• Over 2-year-fulltime residency, depending on program track, with a long-term commitment upon completion
• Direct 1on1 supervision by CTO / Technical Director, working closely with the company’s core leadership and key technical teams
• Project based training aligned with VinRobotics’ strategic and mission critical initiatives, including both research and engineering tracks
• Deep specialization training by domain, combined with cross functional exposure based on IDP
• Tech Leadership Program for high potential candidates, focusing on technical leadership and system ownership
• Paper submission & presentation to top-tier conferences

Benefits

• Priority pathway toward Senior Engineer or Senior Management positions
• Compensation & benefits:
• Supervised by experienced mentors having PhDs/MSc at top universities in US/EU/JP/KR/SG/Aus/UK, or worked for big tech corps.
• Full benefits applied in line with VinRobotics’ official employee policy framework
• Competitive starting salary
• Performance based bonus scheme

Required Qualifications

• Outstanding early career talents with a clear orientation toward deep technical specialization and long-term development
• Bachelor’s or Engineer’s degree with High Distinction or above, or Master’s degree (research track preferred) in Robotics, AI, Electrical/Electronics, Mechanical Engineering, Computer Science, or related fields
• Proven experience in serious research or advanced technical projects, with technical reports, papers, or preprints; solid understanding of research methodology and evaluation
• Strong advantage for candidates with publications, posters, patents, or high impact opensource contributions at leading journals or conferences
• Letter of recommendation from a reputable faculty member, lab lead, or technical lead

Preferred Qualifications

• Award winners at national or international competitions in Robotics, AI, or Engineering (e.g., RoboCup, VEX, FPT AI, ICPC, IEEE competitions)
• Background in IMO / IPhO / IOI is a significant advantage