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Manager Tensor Jobs in Warren, MI (NOW HIRING)

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Manager Tensor information

See Warren, MI salary details

$31.5K

$100.2K

$170K

How much do manager tensor jobs pay per year?

As of Aug 1, 2026, the average yearly pay for manager tensor in Warren, MI is $100,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,400.00 and $124,400.00 per year, depending on experience, location, and employer.

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 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 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 cities near Warren, MI are hiring for Manager Tensor jobs? Cities near Warren, MI with the most Manager Tensor job openings:
Manager Tensor jobs near you

Software Sr. Engineer (Middleware)

Astemo

Farmington Hills, MI

$120K - $158K/yr

Full-time

Posted 10 days ago

Job description

Company Name:

ASTEMO AMERICAS, INC.

Job Family:

Engineering

Job Description:

General Responsibilities:

We are seeking an experienced and dynamic Senior Engineer to work independently hands on developing an advanced automotive System on Chip (SoC) software platform. This SW platform will operate on a high-performance system-on-chip (SoC) to use in AD/ADAS and/or Central Compute ECU. The software platform will use hypervisor technology and support guest operating systems such as Blackberry QNX, Adaptive AUTOSAR, and various Linux distributions.

Job Responsibilities:

Includes the following (other duties may be documented and assigned by local management and some duties may not apply dependent upon the requirements of the position at each specific Astemo, AM site and/or the strengths of the employee and the needs of the company):

Technology Development: Integrate and support standard automotive sensors, with a focus on AD/ADAS, such as cameras, radar, lidar, sonar, and inertia sensing. Manage the development of image processing capabilities within the platform. Implement system partitioning, hypervisors, and container engine technology to enhance platform flexibility and security.

Cross-functional Collaboration: Collaborate with cross-functional teams including hardware engineers, product engineers, and other stakeholders to ensure the software platform meets performance, safety, and regulatory standards.

Risk Management: Assess risks and uncertainties associated with software development initiatives, proactively identifying potential roadblocks and developing mitigation strategies. Ensure compliance with regulatory requirements and industry standards.

Qualifications: The Ideal candidate will:

  • Strong analytical skills with the ability to translate complex data into actionable insights.
  • Excellent communication and presentation skills, with the ability to influence and persuade stakeholders at all levels of the organization.
  • Deep understanding of SDV Enablers, Zonal Network, high-performance central compute modules, automated driving, AI, machine learning, perception modules, connected mobility, MLOps, and OTA updates.
  • Technical experience with:
    • Strong experience in C/C++ development for automotive embedded systems, with the ability to develop automotive SoC software platforms.
    • Software: POSIX OS, QNX, Board support packages, middleware, hypervisor, container engines, and AD/ADAS technology stacks.
    • Strong expertise in AD/ADAS sensor (Cameras, Radar, Lidar...etc.) bring-up, integration, and debugging on automotive platforms.
    • ADAS Features: Good understanding of Image processing, Image transfer, Video Input and Video output handling in SoC platform software development.
    • SoC architecture: Any major SOC vendors like Qualcomm SA8650, Renesas RCAR, Nvidia Orin and Thor experience.
    • SoC Hardware: Ethernet, USB, UFS, Display Port, PCIe, QUP (Qualcomm Universal Peripheral), UART, SPI, I2C, Inter Core Communication, Camera, CPU Kryo, ARM Cortex R-52, Hexagon Tensor Processor, Server, Accelerators, DDR, Flash ROM, MMU.
  • Strong understanding of Classic and Adaptive AUTOSAR software architecture and good experience of Continuous Integration and Continuous Delivery.
  • Strong Understanding of CPU/GPU architectures, data structures, OS internals, multi-threading, inter-process communications, memory management techniques.
  • Nice to have NVIDIA Drive OS experience and Hypervisor virtual platforms
  • V-Model, ASPICE, MISRA, ISO26262, Cybersecurity and Agile framework.
  • Ability to read schematics, electrical block diagrams, and IC datasheets.

Education: Bachelor or Master's degree in in Computer Science or Electrical Engineering

Experience: 7+ years of experience with a minimum of 4 years of AD/ADAS Sensor development experience and 3+ years of experience in automotive, or other embedded system low-level domains.

Job level is determined by various factors such as organization size, responsibility, career stage, and capabilities.

Working conditions:

Physical Demands: Required to sit or stand for long periods of time. The employee may occasionally lift and/or move up to 25 pounds.

Travel: Domestic and international may be required as needed. The candidate will occasionally need to travel to multiple global locations to support project development.

Equal Opportunity Employer (EOE) - Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender, identity, disability, protected veteran status and national origin.

At Astemo, we're challenging the status quo with the power of diversity, inclusion, and collaboration. Our goal is to build an inclusive work environment that celebrates the differences of our employees. We want to ensure that every employee feels valued, respected and empowered. We don't just accept difference-we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Astemo is proud to be an equal opportunity employer.

If you need a reasonable accommodation to apply for a job at Astemo, please send the nature of the request and contact information to am-jobs@hitachiastemo.com when applying for the position.

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