Responsibilities : • Architect and scale quantization pipelines (both Post-Training Quantization ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...
Responsibilities : • Architect and scale quantization pipelines (both Post-Training Quantization ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...
Help to design a secure connected vehicle architecture • Work with vendors, partners, and other Tesla teams to drive remediation • Conduct risk assessments to prioritize threats and compare ...
Help to design a secure connected vehicle architecture • Work with vendors, partners, and other Tesla teams to drive remediation • Conduct risk assessments to prioritize threats and compare ...
... to architectural decisions: With a focus on security, scalability, and reliability, especially ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...
... to architectural decisions: With a focus on security, scalability, and reliability, especially ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...
... architecture and product delivery • Ability to collaborate and communicate complex technical concepts to a wide audience Preferred : • Experience with web security is a plus Company : Tesla is an ...
... architecture and product delivery • Ability to collaborate and communicate complex technical concepts to a wide audience Preferred : • Experience with web security is a plus Company : Tesla is an ...
... architecture • Proficiency working in a high-impact, responsive, and collaborative team environment Company : Tesla is an electric vehicle and clean energy company that provides electric cars ...
... architecture • Proficiency working in a high-impact, responsive, and collaborative team environment Company : Tesla is an electric vehicle and clean energy company that provides electric cars ...
Tesla is seeking a Staff Software Engineer to join our Payments and FinTech team, spearheading the technical strategy and architecture of systems that keep the lights on for the company. The role ...
Tesla is seeking a Staff Software Engineer to join our Payments and FinTech team, spearheading the technical strategy and architecture of systems that keep the lights on for the company. The role ...
Tesla is pioneering technological excellence and innovation through its Generative AI Platform ... architecture to drive innovation and efficiency • Develop code generation tools to automate ...
Tesla is pioneering technological excellence and innovation through its Generative AI Platform ... architecture to drive innovation and efficiency • Develop code generation tools to automate ...
Tesla is building robust embodied intelligence through autonomous driving and humanoid robots. In this role, you'll architect and deploy models that allow our agents to listen, understand, and ...
Tesla is building robust embodied intelligence through autonomous driving and humanoid robots. In this role, you'll architect and deploy models that allow our agents to listen, understand, and ...
Software Engineer, Generalist, AI Inference
Palo Alto, CA · On-site
$114K - $157K/yr
... architecture • Experience with CUDA Company : Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company ...
Software Engineer, Generalist, AI Inference
Palo Alto, CA · On-site
$114K - $157K/yr
... architecture • Experience with CUDA Company : Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company ...
Job Summary : Tesla is looking for a highly motivated software developer with a strong AI ... tools • Architect and build full-stack applications, including intelligent tools for design ...
Job Summary : Tesla is looking for a highly motivated software developer with a strong AI ... tools • Architect and build full-stack applications, including intelligent tools for design ...
Tesla is responsible for developing customer-facing digital products that enhance the user ... architecture • Experience with databases (either SQL or NoSQL) • Good unit testing and ...
Tesla is responsible for developing customer-facing digital products that enhance the user ... architecture • Experience with databases (either SQL or NoSQL) • Good unit testing and ...
Tesla is a company at the intersection of firmware & hardware design, service, diagnostics ... Participate in architectural improvements to support our growing user base Qualifications
Tesla is a company at the intersection of firmware & hardware design, service, diagnostics ... Participate in architectural improvements to support our growing user base Qualifications
Tesla is a company focused on service engineering at the intersection of firmware and hardware ... Participate in architectural improvements to support our growing user base Qualifications
Tesla is a company focused on service engineering at the intersection of firmware and hardware ... Participate in architectural improvements to support our growing user base Qualifications
Tesla is seeking a Staff Software Engineer on the Bottlerocket team to architect and operate the distributed backend infrastructure for their internal Generative AI platform. The role involves ...
Tesla is seeking a Staff Software Engineer on the Bottlerocket team to architect and operate the distributed backend infrastructure for their internal Generative AI platform. The role involves ...
Tesla is seeking a Software Engineer for their AI Platform within Vehicle Software. The role ... architecture that supports real-time querying and streaming across an ever-expanding fleet • ...
Tesla is seeking a Software Engineer for their AI Platform within Vehicle Software. The role ... architecture that supports real-time querying and streaming across an ever-expanding fleet • ...
Tesla's Factory Software team builds the systems that keep our factories running, focusing on ... • Architect and implement event-driven systems, real-time data pipelines, and streaming ...
Tesla's Factory Software team builds the systems that keep our factories running, focusing on ... • Architect and implement event-driven systems, real-time data pipelines, and streaming ...
Sr. Software Engineer, Factory Software
Fremont, CA · On-site
$134K - $177K/yr
Tesla is seeking a highly motivated Sr Software Engineer with expertise in server-side and backend ... architectural design through implementation, testing, and production deployment Qualifications
Sr. Software Engineer, Factory Software
Fremont, CA · On-site
$134K - $177K/yr
Tesla is seeking a highly motivated Sr Software Engineer with expertise in server-side and backend ... architectural design through implementation, testing, and production deployment Qualifications
AV Systems Administrator
Buffalo, NY · On-site
Tesla is seeking a highly motivated AV Systems Administrator to support their growing AV and live ... architecture and the TCP/IP model • Excellent communication and coordination skills • Strong ...
AV Systems Administrator
Buffalo, NY · On-site
Tesla is seeking a highly motivated AV Systems Administrator to support their growing AV and live ... architecture and the TCP/IP model • Excellent communication and coordination skills • Strong ...
Staff Site Reliability Engineer, Energy Software
Palo Alto, CA · On-site
$67 - $89.25/hr
Tesla is looking for a Site Reliability Engineer to build, enhance, and scale the infrastructure ... system architecture and security best practices • Review, digest, and distill complex code and ...
Staff Site Reliability Engineer, Energy Software
Palo Alto, CA · On-site
$67 - $89.25/hr
Tesla is looking for a Site Reliability Engineer to build, enhance, and scale the infrastructure ... system architecture and security best practices • Review, digest, and distill complex code and ...
Tesla is seeking a highly motivated Staff Software Engineer with expertise in server-side and ... architectural design through implementation, testing, and production deployment • Mentor ...
Tesla is seeking a highly motivated Staff Software Engineer with expertise in server-side and ... architectural design through implementation, testing, and production deployment • Mentor ...
Tesla Architecture information
See salary details
$60.5K - $68.7K
7% of jobs
$68.7K - $76.9K
11% of jobs
$82.2K is the 25th percentile. Wages below this are outliers.
$76.9K - $85K
11% of jobs
$85K - $93.2K
12% of jobs
The median wage is $100.6K / yr.
$93.2K - $101.4K
11% of jobs
$101.4K - $109.6K
22% of jobs
$112K is the 75th percentile. Wages above this are outliers.
$109.6K - $117.8K
5% of jobs
$117.8K - $126K
6% of jobs
$126K - $134.1K
5% of jobs
$134.1K - $142.3K
5% of jobs
$142.3K - $150.5K
4% of jobs
$60.5K
$102.5K
$150.5K
How much do tesla architecture jobs pay per year?
As of Aug 1, 2026, the average yearly pay for tesla architecture in the United States is $102,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $119,500.00 per year, depending on experience, location, and employer.
How much does a Tesla studio architect make?
A Tesla studio architect typically earns between $70,000 and $120,000 annually, depending on experience and location. The role involves designing and planning Tesla showrooms and retail spaces, often requiring skills in architecture, CAD software, and project management.
What is the highest paid type of architect?
In the architecture field, specialized roles such as design architects, project managers, or those working in high-demand sectors like healthcare or technology tend to have higher salaries. Architects with advanced certifications, extensive experience, or leadership positions generally earn the highest compensation.
What are the typical daily responsibilities of someone working in Tesla Architecture?
Professionals in Tesla Architecture work on designing, planning, and overseeing the development of advanced manufacturing facilities, showrooms, and R&D spaces to support Tesla’s mission of sustainability and innovation. Daily tasks often include collaborating with engineers and project managers, producing and reviewing architectural drawings, and ensuring that all designs align with regulatory standards and Tesla’s sustainability goals. You may also participate in site visits, coordinate with contractors and suppliers, and help troubleshoot design or construction challenges as they arise. This collaborative, fast-paced environment offers the opportunity to contribute to impactful projects and develop your expertise in sustainable architectural solutions.
Does Tesla hire architects?
Tesla employs architects primarily for designing and planning its facilities, manufacturing plants, and showrooms. These roles typically require knowledge of architectural design, construction codes, and project management, often involving collaboration with engineering teams. Job seekers interested in architecture at Tesla should have relevant credentials and experience in commercial or industrial architecture projects.
Is it hard to get hired at Tesla?
Getting hired for a Tesla architecture role can be competitive due to the company's high standards and innovative environment. Candidates typically need relevant technical skills, such as experience with electrical or software systems, and a strong educational background. The hiring process often involves multiple interviews and technical assessments.
What are the key skills and qualifications needed to thrive in the Tesla Architecture position, and why are they important?
To thrive in Tesla Architecture, candidates need a strong background in architectural design, engineering principles, and sustainable building practices, typically supported by a degree in architecture or a related field and relevant licensure. Experience with industry-standard software such as AutoCAD, Revit, and BIM systems is often required, along with knowledge of green building certifications like LEED. Excellent project management, problem-solving, and interdisciplinary teamwork skills are highly valued in this role. These competencies ensure innovative, efficient, and collaborative development of cutting-edge facilities and infrastructure for Tesla’s operations.
What is a Tesla Architecture job?
A Tesla Architecture job typically involves designing and developing the computing and software architecture that powers Tesla's advanced technologies, including AI, autonomous driving, and energy solutions. Professionals in this role work on high-performance computing systems, neural networks, hardware acceleration, and system optimization. They collaborate with engineers across various teams to enhance efficiency, scalability, and real-time processing capabilities. Strong expertise in hardware, software, and AI-driven technologies is often required.
More about Tesla Architecture jobs
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What states have the most Tesla Architecture jobs? States with the most job openings for Tesla Architecture jobs include:
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Full-time
Re-posted 12 days ago
Tesla rating
8.5
Based on 679 frontline employees who took The Breakroom Quiz
1st of 44 rated automakers
Job description
Job Summary:
Tesla is a leading company in the field of AI, focusing on building foundational models for real-world autonomy. The Machine Learning Engineer will be responsible for architecting and scaling quantization pipelines for multi-modal foundation models, optimizing inference latency and power consumption for various applications including self-driving cars and robots.
Responsibilities:
• Architect and scale quantization pipelines (both Post-Training Quantization and Quantization-Aware Training) for massive multi-modal foundation models that fuse vision, prediction, and decision-making. You will optimize inference latency, memory bandwidth utilization, and power consumption for self-driving cars, Optimus robots, and digital agents operating at enterprise scale
• Innovate quantization-aware-training recipes and algorithms that tackle complex optimization challenges inherent to low-precision training
• Push the limits of low-precision AI: Research and implement advanced low-bitweight post-training quantization techniques to address hard algorithmic problems such as activation outlier mitigation, KV cache compression, and optimal layer-wise bit-allocation while strictly maintaining model accuracy
• Collaborate closely with AI compiler, inference engine, and silicon teams to ensure models are architected to maximally utilize underlying hardware capabilities by co-designing quantization-friendly architectures, hardware-aware sparsity patterns, and mixed low-precision kernels
• Collaborate across perception, planning, robotics, digital agents, and infrastructure teams to move models from research to fleet-wide, robot-wide, and enterprise-wide deployment
Qualifications:
Required:
• Degree or equivalent experience in Computer Science, Machine Learning, Robotics, Computer Vision, or related quantitative field
• 2+ years of hands-on experience training, optimizing, and deploying large-scale quantized deep learning models
• Strong technical understanding of the challenges inherent to quantizing large transformer architectures, including mitigating massive activation outliers, KV cache quantization, and maintaining the numerical stability of attention mechanisms at low precision
• Deep expertise in the theory and low-level implementation of modern quantization algorithms (e.g., GPTQ, AWQ, SmoothQuant, OmniQuant)
• Experience with low-level numerics and emerging data formats (e.g., FP8, INT4, W4A8, W8A8, micro-scaling/MX formats) and their trade-offs regarding latency, memory bandwidth, and model fidelity
• Rigorous understanding of computer architecture and the roofline model. Familiarity with how to optimize for memory hierarchies, minimize SRAM/DRAM data movement, and efficiently map quantized GEMMs and memory-bound operators to custom silicon
• Proficiency in writing custom CUDA/Triton kernels, implementing custom autograd functions (e.g., Straight-Through Estimators), and manipulating PyTorch computational graphs (e.g., FX tracing, torch.compile)
• Strong software engineering skills — clean, production-grade Python/C++ code that ships reliably at scale
• Proven ability to turn cutting-edge research into robust, real-world systems that improve safety, capability, efficiency, or digital productivity
• Passion for Tesla’s mission and excitement about deploying AI that moves both the physical and digital worlds forward
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.
Tesla is a leading company in the field of AI, focusing on building foundational models for real-world autonomy. The Machine Learning Engineer will be responsible for architecting and scaling quantization pipelines for multi-modal foundation models, optimizing inference latency and power consumption for various applications including self-driving cars and robots.
Responsibilities:
• Architect and scale quantization pipelines (both Post-Training Quantization and Quantization-Aware Training) for massive multi-modal foundation models that fuse vision, prediction, and decision-making. You will optimize inference latency, memory bandwidth utilization, and power consumption for self-driving cars, Optimus robots, and digital agents operating at enterprise scale
• Innovate quantization-aware-training recipes and algorithms that tackle complex optimization challenges inherent to low-precision training
• Push the limits of low-precision AI: Research and implement advanced low-bitweight post-training quantization techniques to address hard algorithmic problems such as activation outlier mitigation, KV cache compression, and optimal layer-wise bit-allocation while strictly maintaining model accuracy
• Collaborate closely with AI compiler, inference engine, and silicon teams to ensure models are architected to maximally utilize underlying hardware capabilities by co-designing quantization-friendly architectures, hardware-aware sparsity patterns, and mixed low-precision kernels
• Collaborate across perception, planning, robotics, digital agents, and infrastructure teams to move models from research to fleet-wide, robot-wide, and enterprise-wide deployment
Qualifications:
Required:
• Degree or equivalent experience in Computer Science, Machine Learning, Robotics, Computer Vision, or related quantitative field
• 2+ years of hands-on experience training, optimizing, and deploying large-scale quantized deep learning models
• Strong technical understanding of the challenges inherent to quantizing large transformer architectures, including mitigating massive activation outliers, KV cache quantization, and maintaining the numerical stability of attention mechanisms at low precision
• Deep expertise in the theory and low-level implementation of modern quantization algorithms (e.g., GPTQ, AWQ, SmoothQuant, OmniQuant)
• Experience with low-level numerics and emerging data formats (e.g., FP8, INT4, W4A8, W8A8, micro-scaling/MX formats) and their trade-offs regarding latency, memory bandwidth, and model fidelity
• Rigorous understanding of computer architecture and the roofline model. Familiarity with how to optimize for memory hierarchies, minimize SRAM/DRAM data movement, and efficiently map quantized GEMMs and memory-bound operators to custom silicon
• Proficiency in writing custom CUDA/Triton kernels, implementing custom autograd functions (e.g., Straight-Through Estimators), and manipulating PyTorch computational graphs (e.g., FX tracing, torch.compile)
• Strong software engineering skills — clean, production-grade Python/C++ code that ships reliably at scale
• Proven ability to turn cutting-edge research into robust, real-world systems that improve safety, capability, efficiency, or digital productivity
• Passion for Tesla’s mission and excitement about deploying AI that moves both the physical and digital worlds forward
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.