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Manager Tensor Jobs (NOW HIRING)

SF Tensor

Founding Product Engineer

San Francisco, CA · On-site

SF Tensor is a company focused on revolutionizing AI and high-performance computing by rethinking ... while managing backend services and infrastructure. Responsibilities : • Take full ownership of ...

NIO

AI Infrastructure Engineer

San Jose, CA · On-site

$126K - $165K/yr

Integrate advanced optimization techniques such as KV-cache management, tensor/model parallelism, quantization, and memory-efficient execution into production inference systems. * Partner with system ...

NIO

AI Infrastructure Engineer

San Jose, CA · On-site

$126K - $165K/yr

Integrate advanced optimization techniques such as KV-cache management, tensor/model parallelism, quantization, and memory-efficient execution into production inference systems. * Partner with system ...

NIO USA, INC

AI Infrastructure Engineer

San Jose, CA · On-site

$192K - $249K/yr

Integrate advanced optimization techniques such as KV-cache management, tensor/model parallelism, quantization, and memory-efficient execution into production inference systems. * Partner with system ...

iFlow Inc

Program Manager

Austin, TX · On-site

Job Title: Program Manager Location : Austin,TX Duration: 6 Months Experience: 5-15 Years ... Integrate SGLang with the Run:ai Model Streamer to enable concurrent tensor streaming directly to ...

1600 NIO USA, Inc.

AI Infrastructure Engineer

San Jose, CA · On-site

$163.50 - $212.40/hr

Integrate advanced optimization techniques (KV‑cache management, tensor/model parallelism, quantization, memory‑efficient execution) into production inference pipelines. * Partner with system and ...

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How much do manager tensor jobs pay per year?

As of Aug 22, 2026, the average yearly pay for manager tensor in the United States is $106,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What is a Manager Tensor?

A Manager Tensor is typically a managerial position responsible for overseeing teams that develop and implement machine learning models using TensorFlow or similar tensor-based frameworks. This role involves coordinating data science and engineering teams, ensuring project goals align with business objectives, and facilitating the deployment of scalable AI solutions. Additionally, a Manager Tensor may be tasked with mentoring staff, managing resources, and staying updated with the latest advancements in artificial intelligence. The position requires strong leadership, technical expertise in machine learning, and experience with deep learning platforms.

What are the key skills and qualifications needed to thrive as a Manager Tensor, and why are they important?

To thrive as a Manager Tensor (commonly referred to as a TensorFlow Manager or Machine Learning Manager), you need a solid background in machine learning, deep learning frameworks (especially TensorFlow), and experience leading technical teams, typically backed by a relevant degree. Proficiency with TensorFlow, Python, data engineering tools, and cloud platforms, along with certifications in machine learning, are highly valued. Leadership, strong communication, and project management skills help you effectively guide teams and collaborate with stakeholders. These skills ensure successful project delivery, innovation, and alignment with organizational goals in complex AI-driven environments.

What are some common challenges faced by a Manager Tensor when leading AI and machine learning teams?

A Manager Tensor often encounters challenges such as balancing technical leadership with strategic oversight, managing projects that involve complex and evolving technologies, and ensuring effective communication among data scientists, engineers, and stakeholders. Additionally, staying current with rapid advancements in AI frameworks and guiding the team through best practices can be demanding. Collaboration across multidisciplinary teams and aligning projects with business objectives are also key aspects of the role.

What is the difference between Manager Tensor vs Data Scientist?

AspectManager TensorData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Data Analytics, or related fields; certifications like TensorFlow Developer are commonBachelor's or Master's in Data Science, Statistics, Computer Science; certifications like Certified Data Scientist are common
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in tech or AI-focused companiesAnalyzes data, builds models, reports insights in tech, finance, healthcare industries
Employer & Industry UsageUsed in AI, machine learning, and tech companies for managing TensorFlow projectsUsed across industries for data analysis, predictive modeling, and research

The main difference is that a Manager Tensor oversees AI projects involving TensorFlow, focusing on team management and project delivery, while a Data Scientist primarily analyzes data and builds models. Both roles require technical knowledge, but the Manager Tensor role emphasizes leadership and project management within AI initiatives.

What cities are hiring for Manager Tensor jobs?

Cities with the most Manager Tensor job openings:

What are the most commonly searched types of Tensor jobs?

The most popular types of Tensor jobs are:

What states have the most Manager Tensor jobs?

States with the most job openings for Manager Tensor jobs include:

Manager Tensor jobs near you

Functional Safety Engineer (San Jose)

Tensor

San Jose, CA • On-site

$300K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Tensor is an agentic AI company dedicated to building agentic products that empower individual consumers. Our flagship product, the Tensor Robocar, is the world’s first personal Robocar and the first AI agentic vehicle — fully autonomous, automotive-grade, and built for private ownership at scale. Founded in 2016 in Silicon Valley, Tensor is headquartered in San Jose, California, with offices in Barcelona, Singapore, and Dubai. At Tensor, we champion personal AI autonomy and ownership. Our vision is to build a future where everyone owns their own Artificial General Intelligence — a personal AGI that enables more time, freedom, and autonomy. We’re forging an alternative path where AGI serves only you, and is controlled solely by you.

We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.

Join us to shape the future! Work with brilliant minds on technology transforming automotive industry and make a lasting impact.

Locations
  • San Jose, California, US (Salary Range: $75k—$300k USD)
  • Barcelona, Catalonia, Spain
  • Dubai, UAE
Responsibilities
  • Lead and manage functional safety activities across HW and SW development and operations of autonomous driving systems;
  • Conduct safety analysis, including FMEDA, FTA and HARA, develop and implement safety concepts and requirements in compliance with ISO 26262;
  • Collaborate with cross-functional teams to ensure safety requirements are integrated into the design and validation;
  • Provide guidance and training to team members on functional safety practices and methodologies;
Qualifications
  • Master's degree or higher in transportation engineering, statistics, biomedical engineering and mechanics, mechanical engineering, vehicle engineering, physics etc.;
  • Experience with safety standards including ISO26262, ISO 21448, and UL 4600;
  • Strong fundamentals in mathematics, engineering and physics;
  • Experience with functional safety for autonomous vehicles.
  • Strong technical communication skills and teamwork spirit.
Preferences
  • PhD’s degree with 5+ years of automotive, robotics, aerospace or related industry experience;
  • Experience in leading small teams of functional safety engineers.
  • Experience in the automotive self driving industry.

We appreciate your interest in joining Tensor. Tensor is an equal employment opportunity employer, dedicated to fostering a respectful, supportive, and inclusive workplace for all. We do not discriminate against, and strictly prohibit harassment of, any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, military or veteran status, genetic information, or any other characteristic protected by applicable law. Tensor also considers qualified applicants with criminal histories in accordance with applicable laws. We are committed to providing equal opportunities for qualified individuals with disabilities. Tensor is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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