R&D Engineer II - Deep Learning Physics

ANSYS, Inc.; Canonsburg (Washington County); On-site; USD 80,000 - 140,000; Full time

Job summary

Join a forward-thinking company as an R&D Engineer II, where you'll leverage cutting-edge deep learning techniques to innovate in simulation software. This role focuses on developing scalable foundation models for physics, utilizing state-of-the-art vision transformers and collaborating with top-tier engineering teams. You'll have the opportunity to publish influential research and present at leading conferences, all while working in a dynamic environment that values diversity and inclusion. If you're passionate about technology and eager to make a significant impact, this is the perfect opportunity for you.

Benefits

Flexible Work Hours

Health Insurance

Retirement Plans

Professional Development Opportunities

Remote Work Options

Wellness Programs

Employee Discounts

Paid Time Off

Tuition Reimbursement

Team Building Activities

Qualifications

• Experience with deep learning, especially vision transformers and diffusion models.
• Strong programming skills in C++ or Python with deep learning frameworks.

Responsibilities

• Research and prototype vision transformer models for physics applications.
• Collaborate with engineering teams for real-time model implementations.

Skills

Deep Learning

Vision Transformers

C++

Python

TensorFlow

PyTorch

JAX

Scikit Learn

Education

BS in Engineering

BS in Computer Science

Masters or PhD

Tools

Machine Learning Pipeline

Job description

Date: Jan 16, 2025

Location: Canonsburg, PA, US, 15317; Apex, NC, US, 27523; San Jose, CA, US, 95134; Boulder, CO, US, 80301; Seattle, WA, US, 98121; Champaign, IL, US, 61820; Ann Arbor, MI, US, 48108; Austin, TX, US, 78746; Exton, PA, US, 19341

Company: Ansys

Requisition #:15866

Our Mission: Powering Innovation That Drives Human Advancement

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys.

Innovate With Ansys, Power Your Career.

SUMMARY
The R&D Engineer II is responsible for the development of software products and supporting systems. As part of the Office of the CTO, in this role you will conduct research using deep learning techniques such as state-of-the-art vision transformer models or similar and implement them on our local ML pipeline. This will be towards building scalable foundation models for physics.

RESPONSIBILITIES

1. Research and prototype vision transformer models with ideas from LLMs and generative diffusion models to apply them for specific physics and physics models.
2. Build and curate large datasets and models with fundamental general capabilities of different modalities of physics such as understanding of specific physics, boundary conditions, loading, as well as other constraints in physics.
3. Research deep learning methods in the context of fluids, structures, electromagnetics, optics, and electronics.
4. Participate in brainstorming, planning, architecture, and research.
5. Collaborate with product engineering teams to drive real-time model implementations and new feature creations.
6. Publish influential research outcomes and give presentations in top-tier conferences and journals.
7. Work independently with minimal supervision and may take on some planning and mentoring responsibilities.

MINIMUM QUALIFICATIONS

1. BS in Engineering, Computer Science, or related field.
2. Working experience with Deep Learning specifically with vision transformers and diffusion models.
3. Expertise in C++ or Python with a focus on deep learning frameworks like TensorFlow, PyTorch, JAX, or Scikit Learn.

PREFERRED QUALIFICATIONS

1. Masters or PhD with software development experience in working with SLM/LLMs and fine-tuning.
2. Publication in leading journals or conferences such as NeurIPS, ICML, or ICLR.
3. Experience with 3D geometry or computer vision.

INCLUSION IS AT OUR CORE
We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive.

WELCOME WHAT’S NEXT IN YOUR CAREER AT ANSYS

At Ansys, you will find yourself among the sharpest minds and most visionary leaders across the globe. Collectively we strive to change the world with innovative technology and transformational solutions. With a prestigious reputation in working with well-known, world-class companies, standards at Ansys are high — met by those willing to rise to the occasion and meet those challenges head-on.

At Ansys, it’s about the learning, the discovery, and the collaboration. It’s about the “what’s next” as much as the “mission accomplished.” And it’s about the melding of disciplined intellect with strategic direction and results that have, can, and do impact real people in real ways. All this is forged within a working environment built on respect, autonomy, and ethics.

CREATING A PLACE WE’RE PROUD TO BE
Ansys is an S&P 500 company and a member of the NASDAQ-100. We are proud to have been recognized for the following more recent awards, although our list goes on: Newsweek’s Most Loved Workplace globally and in the U.S., Gold Stevie Award Winner, America’s Most Responsible Companies, Fast Company World Changing Ideas, Great Place to Work Certified (Belgium, China, Greece, France, India, Japan, Korea, Spain, Sweden, Taiwan, and U.K.).

For more information, please visit us at www.ansys.com

Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics.

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