<p>在印度推出汽车销售仅几个月后，特斯拉可能已经在准备下一步行动——通过两项关键的人工智能（AI）相关招聘来扩展其在该国的人工智能业务。</p>
<p>这两个职位招聘信息被特斯拉印度俱乐部在 X 平台上发现，显示特斯拉首次在印度招聘 AI 硬件工程师——这一职位与公司的定制硅和机器学习加速战略直接相关。</p>
<p>招聘信息表明，该职位隶属于特斯拉的 AI 硬件团队，该团队负责设计和开发为全自动驾驶（FSD）和人形机器人 Optimus 提供动力的先进芯片。根据职位描述：</p>
<p>“团队由杰出的工程师和愿景家组成，设计和开发先进的 AI 芯片，以加速特斯拉的机器学习能力。”</p>
<p>该职位的职责包括硬件设计、原型制作、测试以及与跨职能软件团队的协作。候选人需具备 AI 加速器、RTL、物理设计、微架构、EDA 工具和硬件验证等领域的经验，并且熟悉 C++、Python 或 MATLAB 等编程语言。</p>
<p>团队的更广泛愿景也明确指出：</p>
<p>“通过创建定制硅和优化架构，团队确保特斯拉在 AI 驱动的汽车和能源解决方案中保持领先地位，塑造一个智能机器提升人类生活的未来。”</p>
<p>这与支撑特斯拉内部 Dojo 超级计算机和 FSD 硬件的 AI 硅战略相同——这一技术已成为公司自主驾驶路线图的核心。</p>
<p><img src="https://imageproxy.pbkrs.com/https://i0.wp.com/driveteslacanada.ca/wp-content/uploads/2026/02/ai-engineer.png/query-cmVzaXplPTg1Nyw0MTEmc3NsPTE?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="857" height="411" original-src="https://imageproxy.pbkrs.com/https://i0.wp.com/driveteslacanada.ca/wp-content/uploads/2026/02/ai-engineer.png/query-cmVzaXplPTg1Nyw0MTEmc3NsPTE"/></p>
<p>除了 AI 硬件职位外，特斯拉还在印度招聘一名站点可靠性工程师（SRE），负责 HPC / AI 基础设施。</p>
<p>虽然硬件工程师职位专注于芯片设计，但 SRE 职位则侧重于维护和扩展特斯拉的高性能计算集群。这些基于 GPU 的系统支持机器学习训练、模拟工作负载、自动驾驶开发和 Optimus 研究。</p>
<p>职位描述强调自动化、配置管理、监控、性能优化、安全性和大规模部署。优先考虑具备 Linux 性能调优、Slurm 或 LSF 工作负载调度器、Kubernetes、并行文件系统和基础设施即代码最佳实践经验的候选人。</p>
<p><img src="https://imageproxy.pbkrs.com/https://i0.wp.com/driveteslacanada.ca/wp-content/uploads/2026/02/stie.png/query-cmVzaXplPTg2OCwzNDgmc3NsPTE?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="868" height="348" original-src="https://imageproxy.pbkrs.com/https://i0.wp.com/driveteslacanada.ca/wp-content/uploads/2026/02/stie.png/query-cmVzaXplPTg2OCwzNDgmc3NsPTE"/></p>
<h2>特斯拉的 AI 研发中心会在印度成立吗？</h2>
<p>综合来看，这两个职位的招聘不仅仅是例行招聘。AI 硬件开发和高性能计算基础设施是特斯拉自主驾驶和机器人项目的基础要素。</p>
<p>这两个职位均位于印度，属于 AI 与机器人以及工程与研发职能，这引发了一个显而易见的问题：特斯拉是否在为在该国建立专门的 AI 研发中心奠定基础？</p>
<p>印度在半导体设计、软件基础设施和机器学习方面拥有深厚的工程人才储备。这些招聘信息表明，特斯拉不仅仅是在印度试水——它可能正在为该地区更大规模的 AI 扩展奠定基础。</p>

1.25 倍做多特斯拉 ETF - GraniteShares

特斯拉

2 倍做多特斯拉 ETF - Direxion

<p>特斯拉正在通过招聘两个关键的人工智能相关职位来扩展其在印度的业务：人工智能硬件工程师和站点可靠性工程师。人工智能硬件工程师的角色将专注于为特斯拉的全自动驾驶技术设计先进的芯片，而站点可靠性工程师将维护用于机器学习和自动驾驶开发的高性能计算集群。这些招聘表明，特斯拉可能正在印度建立一个专门的人工智能研发中心，利用该国在半导体设计和机器学习方面的工程人才</p>

<p>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.</p>
<div class="lb-trans"><p>在印度推出汽车销售仅几个月后，特斯拉可能已经在准备下一步行动——通过两项关键的人工智能（AI）相关招聘来扩展其在该国的人工智能业务。</p>
</div><p>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.</p>
<div class="lb-trans"><p>这两个职位招聘信息被特斯拉印度俱乐部在 X 平台上发现，显示特斯拉首次在印度招聘 AI 硬件工程师——这一职位与公司的定制硅和机器学习加速战略直接相关。</p>
</div><p>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:</p>
<div class="lb-trans"><p>招聘信息表明，该职位隶属于特斯拉的 AI 硬件团队，该团队负责设计和开发为全自动驾驶（FSD）和人形机器人 Optimus 提供动力的先进芯片。根据职位描述：</p>
</div><p>“Comprising brilliant engineers and visionaries, the team designs and develops advanced AI chips tailored to accelerate Tesla’s machine learning capabilities.”</p>
<div class="lb-trans"><p>“团队由杰出的工程师和愿景家组成，设计和开发先进的 AI 芯片，以加速特斯拉的机器学习能力。”</p>
</div><p>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.</p>
<div class="lb-trans"><p>该职位的职责包括硬件设计、原型制作、测试以及与跨职能软件团队的协作。候选人需具备 AI 加速器、RTL、物理设计、微架构、EDA 工具和硬件验证等领域的经验，并且熟悉 C++、Python 或 MATLAB 等编程语言。</p>
</div><p>The broader vision of the team is also clearly stated:</p>
<div class="lb-trans"><p>团队的更广泛愿景也明确指出：</p>
</div><p>“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.”</p>
<div class="lb-trans"><p>“通过创建定制硅和优化架构，团队确保特斯拉在 AI 驱动的汽车和能源解决方案中保持领先地位，塑造一个智能机器提升人类生活的未来。”</p>
</div><p>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.</p>
<div class="lb-trans"><p>这与支撑特斯拉内部 Dojo 超级计算机和 FSD 硬件的 AI 硅战略相同——这一技术已成为公司自主驾驶路线图的核心。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://i0.wp.com/driveteslacanada.ca/wp-content/uploads/2026/02/ai-engineer.png/query-cmVzaXplPTg1Nyw0MTEmc3NsPTE" alt="" original-src="https://i0.wp.com/driveteslacanada.ca/wp-content/uploads/2026/02/ai-engineer.png?resize=857%2C411&amp;ssl=1"/></p>
<p>In addition to the AI hardware role, Tesla is also hiring a Site Reliability Engineer (SRE), HPC / AI Infrastructure in India.</p>
<div class="lb-trans"><p>除了 AI 硬件职位外，特斯拉还在印度招聘一名站点可靠性工程师（SRE），负责 HPC / AI 基础设施。</p>
</div><p>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.</p>
<div class="lb-trans"><p>虽然硬件工程师职位专注于芯片设计，但 SRE 职位则侧重于维护和扩展特斯拉的高性能计算集群。这些基于 GPU 的系统支持机器学习训练、模拟工作负载、自动驾驶开发和 Optimus 研究。</p>
</div><p>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.</p>
<div class="lb-trans"><p>职位描述强调自动化、配置管理、监控、性能优化、安全性和大规模部署。优先考虑具备 Linux 性能调优、Slurm 或 LSF 工作负载调度器、Kubernetes、并行文件系统和基础设施即代码最佳实践经验的候选人。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://i0.wp.com/driveteslacanada.ca/wp-content/uploads/2026/02/stie.png/query-cmVzaXplPTg2OCwzNDgmc3NsPTE" alt="" original-src="https://i0.wp.com/driveteslacanada.ca/wp-content/uploads/2026/02/stie.png?resize=868%2C348&amp;ssl=1"/></p>
<h2>Is a Tesla AI R&amp;D Centre Coming to India?</h2>
<div class="lb-trans"><h2>特斯拉的 AI 研发中心会在印度成立吗？</h2>
</div><p>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.</p>
<div class="lb-trans"><p>综合来看，这两个职位的招聘不仅仅是例行招聘。AI 硬件开发和高性能计算基础设施是特斯拉自主驾驶和机器人项目的基础要素。</p>
</div><p>With both roles located in India under AI &amp; Robotics and Engineering &amp; R&amp;D functions, it raises an obvious question: Is Tesla laying the groundwork for a dedicated AI research and development center in the country?</p>
<div class="lb-trans"><p>这两个职位均位于印度，属于 AI 与机器人以及工程与研发职能，这引发了一个显而易见的问题：特斯拉是否在为在该国建立专门的 AI 研发中心奠定基础？</p>
</div><p>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.</p>
<div class="lb-trans"><p>印度在半导体设计、软件基础设施和机器学习方面拥有深厚的工程人才储备。这些招聘信息表明，特斯拉不仅仅是在印度试水——它可能正在为该地区更大规模的 AI 扩展奠定基础。</p>
</div>

Tesla Moves Beyond Vehicles in India with AI Hiring Push

- 特斯拉在印度招聘 AI 硬件工程师和 SRE 工程师，扩展 AI 业务。  
- 这两个职位与特斯拉的自定义硅片和 AI 计算基础设施相关。  
- 招聘表明特斯拉可能在印度建立专门的 AI 研发中心。

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2 倍做多 TSLA ETF - T-Rex

特斯拉在印度不仅限于车辆业务，正在推动人工智能领域的招聘