Senior AI R&D Engineer - REMOTE (f/m)

Ansys; France; À distance; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A technology company in France is seeking an experienced AI developer to create neural network architectures and engage in software design. The ideal candidate will have significant experience in Python and Deep Learning, with a proven record in efficient coding. Join a collaborative team and contribute to groundbreaking AI solutions, fostering innovation in simulation technology.

Prestations

Comprehensive health benefits

Financial benefits

Wellness programs

Qualifications

• 5+ years of experience with BS, 3+ years with MS, or 1+ year with PhD.
• Significant experience with Python and Deep Learning.
• Proven track record of robust and efficient coding.

Responsabilités

• Creates architectures for neural networks.
• Participates in planning, architecture, and research.
• Performs complex development and bug verification.

Connaissances

Python

Deep Learning libraries

MLOps tooling

Communication skills

Collaborative work

Formation

BS in Engineering, Computer Science, or related field

MS with 3 years experience

PhD with 1 year experience

Description du poste

Requisition #:16673

Overview

Ansys is now a part of Synopsys. Synopsys, Inc. (Nasdaq: SNPS) accelerates technology innovation from silicon to systems. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com.

The SimAI platform is a SaaS AI-based technology that brings unprecedented speed, innovation, and accessibility to simulation. It is built on proprietary Deep Learning algorithms at the forefront of AI. With Ansys SimAI, users can train AI models using simulation results and reliably predict the performance of complex problems in minutes instead of hours or days. It empowers users to make faster decisions, iterate more quickly, and ultimately drive faster innovation.

Responsibilities

• Creates architectures for neural networks tailored to specific tasks, such as image recognition, natural language processing, or speech recognition
• Participates in planning, architecture, and research
• Performs complex development activities that may require extensive analysis in areas including user experience, software design and solver research
• Employs best practices and helps to maintain them through technical reviews and mentoring
• Performs complex bug verification, release testing and beta support for assigned products.
• Researches problems discovered by QA or product support and develops solutions
• Researches and understands the marketing requirements for a product, including target environment, performance criteria and competitive issues. May work with strategic customers or proxies to assess needs and develop solutions
• Works independently with minimal supervision and may take on some planning and mentoring responsibilities
• May be responsible for managing interns or co-ops but typically does not have direct reports

Minimum Education/Certification Requirements and Experience

• BS in Engineering, Computer Science, or related field with 5 years’ experience, MS with 3 years’ experience, or PhD with 1 year experience
• Significant experience with Python, Deep Learning libraries and MLOps tooling
• Proven track record of crafting robust and efficient code
• Proven track record of developing Deep Learning models for commercial software

Preferred Qualifications and Skills

• Technical knowledge and commercial experience applying AI and Deep Learning techniques to CAE, namely geometry handling, numerical simulation and methods
• Experience delivering high-quality products in a large-scale commercial software development environment
• Understanding of customer requirements and tools used in this domain
• Good communication and interpersonal skills
• Ability to work collaboratively in a geographically distributed team

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Ansys, part of Synopsys, we want talented people of every background to feel valued and supported to do their best work. We consider all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.