1

Director Quantum Computing Jobs in Texas (NOW HIRING)

Showing results 21-21

Director Quantum Computing information

What does a director of quantum computing do?

A Director of Quantum Computing leads the strategic planning and implementation of quantum computing initiatives within an organization. They oversee research and development, manage teams working on quantum algorithms and hardware, and collaborate with external partners and stakeholders. Their responsibilities include setting the vision for quantum technology adoption, ensuring projects align with business goals, and keeping abreast of advancements in the rapidly evolving field. They also help identify opportunities where quantum computing can provide a competitive advantage.

What are the key skills and qualifications needed to thrive as a director of quantum computing, and why are they important?

To thrive as a Director of Quantum Computing, you need deep expertise in quantum algorithms, quantum physics, and advanced computer science, typically backed by a Ph.D. or equivalent experience. Familiarity with quantum programming languages (like Qiskit or Cirq), quantum hardware platforms, and relevant industry certifications is highly valuable. Strong leadership, strategic vision, and the ability to communicate complex ideas to diverse stakeholders are standout soft skills. These competencies ensure effective management of quantum projects, drive innovation, and bridge the gap between technical teams and business goals.

How does a director of quantum computing typically collaborate with cross-functional teams to drive quantum initiatives within an organization?

A Director of Quantum Computing works closely with cross-functional teams, including research scientists, software engineers, IT specialists, and executive leadership, to shape and implement quantum strategies. They often facilitate communication between technical experts and non-technical stakeholders to align quantum projects with broader business goals. Regular collaboration involves leading project reviews, supporting team development, and ensuring that research milestones and technology integration efforts move forward smoothly. This role is pivotal in translating quantum advancements into practical solutions that benefit the organization.

What are the most commonly searched types of Quantum Computing jobs in Texas?

The most popular types of Quantum Computing jobs in Texas are:

What are popular job titles related to Director Quantum Computing jobs in Texas?

For Director Quantum Computing jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Director Quantum Computing jobs?

Cities in Texas with the most Director Quantum Computing job openings:

Staff HPC Applications Engineer

NextSilicon

Austin, TX • On-site

Full-time

Posted 10 days ago


Job description

NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software-defined hardware architecture enables HPC to fulfill its promise of breakthroughs in all fields of advanced research.

At NextSilicon, everything we do is guided by three core values:

  • Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance.
  • Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
  • Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.

We are looking for an experienced Staff Applications Engineer to join the Applications team, with demonstrated ability in moving HPC applications onto new platforms and in evaluating performance on node and at scale.

Location: Hybrid in either our Austin, TX or Minneapolis, MN offices (or willing to relocate) preferred but Remote considered for exceptional candidates.

As part of a software-defined hardware company, you will play a pivotal role in driving new software features based on your analysis of customer-defined applications and measuring the resulting performance improvements. This role stands on the edge of computer science/architecture and scientific applications which span a wide range of fields, including but not limited to graph algorithms, sparse computations, weather prediction, seismic imaging, genomics, molecular dynamics, quantum chemistry, and computational fluid dynamics. If you have a passion for science, a knack for solving complex problems, and thrive in a bleeding-edge multidisciplinary environment, we want to hear from you!


Responsibilities:
  • Profile and identify bottlenecks of a wide range of HPC applications on different architectures
  • Develop creative algorithmic and software solutions to solve bottlenecks and accelerate applications on a novel dataflow architecture
  • Translate application requirements into software features and hardware requirements
  • Develop performance models for future hardware architectures

Requirements:
  • US citizenship and eligibility to visit US government research facilities
  • B.S. degree in a hard science, engineering, computer science, or a related field; M.S. or Ph.D. strongly preferred


  • Hands-on experience with development applications in one or more HPC domains, particularly scientific applications that run at rack or system scale
  • High level of proficiency in one of C/C++/Fortran and familiarity with the others
  • Extensive experience with node level and distributed parallel programming models and a working understanding of OpenMP, MPI in particular
  • Ability to measure application-level performance and profile HPC applications at the node level and at scale
  • Willingness to travel as necessary
  • Ability to work remotely and independently in a fast-paced environment with minimal direct supervision


Desired Skills:

  • Expertise in competitive performance analysis is strongly preferred
  • CUDA or similar GPU kernel languages
  • Hands-on experience with one or more AI/ML frameworks, such as pytorch