Platform and Backend Engineer Intern at DeepMechanix

Location: Remote, India-based · US HQ: San Jose, CA Duration: 3 months, May–August 2026 Stipend: ₹75,000–₹1,25,000/month, set on demonstrated depth Return offer eligible: Yes — full-time role + RSUs for strong performers About DeepMechanix We are building superintelligence for the design and engineering of physical infrastructure, the hardware that civilization runs on. We are starting with static equipment: pressure vessels, heat exchangers, reactors, and related pressure-containing equipment that the global chemical, energy, and pharmaceutical industries depend on. Engineering workflows in this domain are largely unchanged since the 1990s. Engineers transcribe datasheets by hand, perform ASME code calculations in decades-old desktop applications, and produce deliverables through manual review cycles that can take weeks. We are building the software layer that replaces the manual parts of this workflow while preserving the rigorous compliance and traceability that industrial customers require. Our first product combines custom retrieval over ASME standards with automation of engineering software. We are pre-seed with revenue, targeting a seed round in late 2026. Our research work is being published externally. The product is live and shipping to pilot customers in India and the US. What This Internship Offers Compensation Monthly stipend of ₹75,000–₹1,25,000/month for a 3-month engagement. The top band is reserved for candidates demonstrating both research-grade depth and production engineering quality. Return offer and equity exposure: Structured as a pipeline to a full-time AI/ML Engineer role. Strong performers receive a return offer with increased compensation and an RSU grant tied to the company's exit outcome. Mentorship and authorship: Direct technical collaboration with the founding team. Novel research contributions, building on the ASME PVP 2026 framework, are eligible for co-autho