Just a few months after launching vehicle sales in India, Tesla may already be preparing its next move — expanding its artificial intelligence (AI) operations in the country through two key AI-focused hires.
The two job postings were spotted by Tesla Club India on X, showing Tesla is recruiting an AI Hardware Engineer in India for the first time — a role tied directly to the company’s custom silicon and machine learning acceleration strategy.
The job posting indicates the position is within Tesla’s AI Hardware team, which is responsible for designing and developing advanced chips that power neural networks behind Full Self-Driving (FSD) and the humanoid robot Optimus. According to the job description:
“Comprising brilliant engineers and visionaries, the team designs and develops advanced AI chips tailored to accelerate Tesla’s machine learning capabilities.”
The listing highlights responsibilities such as hardware design, prototyping, testing, and collaborating with cross-functional software teams. Candidates are expected to have experience in areas like AI accelerators, RTL, physical design, microarchitecture, EDA tools, and hardware verification, along with programming experience in languages such as C++, Python, or MATLAB.
The broader vision of the team is also clearly stated:
“By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in AI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life.”
This is the same AI silicon strategy that underpins Tesla’s in-house Dojo supercomputer and FSD hardware — technology that has become central to the company’s autonomy roadmap.
In addition to the AI hardware role, Tesla is also hiring a Site Reliability Engineer (SRE), HPC / AI Infrastructure in India.
While the hardware engineer role focuses on chip design, the SRE position is centered on maintaining and scaling Tesla’s high-performance computing clusters. These GPU-based systems support machine learning training, simulation workloads, Autopilot development, and Optimus research.
The job description emphasizes automation, configuration management, monitoring, performance optimization, security, and large-scale deployment. Experience with Linux performance tuning, Slurm or LSF workload schedulers, Kubernetes, parallel file systems, and infrastructure-as-code best practices is preferred.
Is a Tesla AI R&D Centre Coming to India?
Taken together, these two postings signal more than just routine hiring. AI hardware development and high-performance computing infrastructure are foundational elements of Tesla’s autonomy and robotics programs.
With both roles located in India under AI & Robotics and Engineering & R&D functions, it raises an obvious question: Is Tesla laying the groundwork for a dedicated AI research and development center in the country?
India offers a deep engineering talent pool in semiconductor design, software infrastructure, and machine learning. Taken together, these job postings suggest Tesla isn’t just testing the waters in India — it may be laying the foundation for a far more significant AI expansion in the region.
