ZipRecruiter

Log In

1

Manager Tensor Jobs in Texas (NOW HIRING)

Socket.dev

Senior Principal Compiler Engineer

Austin, TX · On-site

$180 - $240/hr

... tensor tiling, memory management, and mapping operations onto the fabric. You'll operate in a tightly coupled environment, influencing hardware design to optimize performance, and bring the technical ...

Doist

Senior Principal Compiler Engineer

Austin, TX · On-site

$180 - $240/hr

... tensor tiling, memory management, and mapping operations onto the fabric. You'll operate in a tightly coupled environment, influencing hardware design to optimize performance, and bring the technical ...

Cerebras

Rack-Scale AI Platform Architect

Austin, TX · On-site

... manage distributed training jobs, model check-pointing, and inference serving at massive scale ... Deep practical knowledge of how large models are trained and deployed, including data/tensor ...

Cerebras

AI Platform Architect

Austin, TX · On-site

... manage distributed training jobs, model check-pointing, and inference serving at massive scale ... Deep practical knowledge of how large models are trained and deployed, including data/tensor ...

previous pagenext page

Showing results 21-40

All JobsTensor JobsManager Tensor JobsManager Tensor Jobs in Texas

Manager Tensor information

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 in Texas are hiring for Manager Tensor jobs?

Cities in Texas with the most Manager Tensor job openings:

Manager Tensor jobs near you

Senior Principal Compiler Engineer

Socket.dev

Austin, TX • On-site

$180 - $240/hr

Other

Medical, Dental, Vision, Life

Posted 5 days ago

Job description

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.

SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the‑art open-source models that can be easily and securely fine‑tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.

About the team

The compiler team at SambaNova powers the DPU through a unique compilation strategy. By fusing kernels into dataflow graphs that run across the entire accelerator architecture, we avoid sequential kernel launches and eliminate the memory traffic that bottlenecks conventional hardware. This is a key differentiator and unlike any other product on the market.

About the role

As a Senior Principal Compiler Engineer you'll lead critical areas of our compiler including the IR and pass infrastructure, model lowering and partitioning, tensor tiling, memory management, and mapping operations onto the fabric. You'll operate in a tightly coupled environment, influencing hardware design to optimize performance, and bring the technical judgement, cross functional diplomacy, foresight, and low-level programming depth that integrated system design demands. You'll work with senior team members to ensure career growth and engagement, mentor and develop early career talent, actively recruit for the organization, and participate in interviews.

Responsibilities
  • Lead compiler engineering through ensuring standard methodologies, enterprise product insertion and process evolution.
  • Work with peers, domain experts, developers, customers, and work across the enterprise seeking optimal solutions.
  • Develop, integrate, and implement products.
  • Provide support for proposals in key areas aligned with core team competencies.
Basic Qualifications
  • Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or equivalent with5-10 years of industry experience.
Additional Qualifications
  • Deep theoretical understanding of compiler fundamentals.
  • Experience building and deploying software products.
  • Experience with one or more deep learning frameworks (i.e. TensorFlow, PyTorch) is a plus.
  • Experience with common compiler development practices and methodologies.
  • Excitement about high‑performance systems engineering and performance debugging.
  • An appreciation for process and developing cross‑disciplinary collaboration.
Preferred Qualifications
  • Experience with MLIR.
  • Familiarity with machine learning models and frameworks.
  • Familiarity with accelerated computing.
  • Exposure to dataflow architectures.

Base Salary Range:

Base Pay Range

$180,000 - $240,000 USD

Benefits Summary for US-Based, Full-Time Employment Positions

  • SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits.
  • We cover 95% premium coverage for employee medical insurance.
  • We cover 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution.
  • We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
  • Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care.
  • Our library of well‑being benefits available to you and your dependents includes a full subscription to Headspace.
  • Gympass+ membership with access to physical gyms.
  • One Medical membership.
  • Counseling services with an Employee Assistance Program.

SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

#J-18808-Ljbffr

Apply