Search jobs > San Jose, CA > Scientific computing

Scientific Computing Engineer (Machine Learning, AI, Data Systems)

Cadence Design Systems
San Jose, CA, US
$150.5K-$279.5K a year
Full-time

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Preferred Skills

Cadence Design Systems is a world leader in providing computational software for all aspects of intelligent system design.

You will be part of a cross-disciplinary R&D team working on the emerging boundary of scientific computing and machine learning / AI, with specific emphasis in the analog electronic circuit analysis area.

The candidate should have an advanced degree in computer science / electrical engineering and the following preferred skills :

  • 4+ years experience in software design / development / deployment with application in ML or other data-intensive applications.
  • Demonstrated programming proficiency in Python and C++.
  • Experience and demonstrated proficiency with machine learning frameworks such as PyTorch, TensorFlow, Keras.
  • Strong computer science background is a plus.
  • Working knowledge of contemporary methods in deep learning / AI (LLMs, graph neural networks, transformer architectures, CNNs, reinforcement and transfer learning, etc.).
  • Demonstrated ability to reduce algorithms and theoretical knowledge to practice.
  • Exposure to physics-informed machine learning algorithms e.g. physics-informed neural networks, neural operator methods, is a plus.
  • Exposure to one or more application areas in scientific computing (computational electromagnetics, fluid dynamics, molecular dynamics, thermal analysis, electrical circuit simulation) is a plus.

Candidate should expect to work with a cross-functional engineering team to perform cutting-edge research but ultimately deliver innovative technologies in a production environment.

The annual salary range for California is $150,500 to $279,500. You may also be eligible to receive incentive compensation : bonus, equity, and benefits.

Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location.

Our benefits programs include : paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.

We’re doing work that matters. Help us solve what others can’t.

J-18808-Ljbffr

2 days ago
Related jobs
Promoted
VirtualVocations
Fremont, California

A company is looking for an AI/Machine Learning Engineer to lead the development and deployment of advanced machine learning models and AI solutions. ...

Promoted
Apple
Cupertino, California

We're an applied Machine Learning team that leverages state of the art technologies like generative AI, graph machine learning, and private learning to deliver high quality inferences. We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large La...

TikTok
San Jose, California

Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. Continuous learning, keeping u...

Promoted
Apple
Sunnyvale, California

The Applied Machine Learning (AML) Data Science team is a group of innovative ML scientists and engineers from diverse disciplines with extensive track records in both academia and industry. Familiarity with large-scale datasets, data-driven applications, and machine learning model deployment will b...

LinkedIn
Sunnyvale, California

This is a full-time engineering role based in Sunnyvale, CALinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Responsibilities:• Work with BIG data, crunching millions of samples for statis...

Mendel.ai
San Jose, California

Deploy and maintain machine learning and AI models in a production environment, ensuring scalability and reliability. Our comprehensive clinical intelligence platform, Hypercube, combines advanced machine learning with deep clinical understanding to deliver precise, actionable insights from complex ...

Adobe
San Jose, California

Design, develop, and maintain robust AI/ML infrastructure solutions to support the training and deployment of large-scale AI models, using Kubernetes and Python on AWS cloud. Collaborate closely with ML Researchers and Machine Learning Engineers to accelerate the training of the cutting-edge ML mode...

SAMSUNG
Mountain View, California

We are exploring the latest data mining and machine learning techniques to form a data-driven culture for decision making and product design. Closely work with the machine learning team to define and improve machine learning products. Solid theoretical background in data analytics, data mining, mach...

TikTok
San Jose, California

Develop scalable and efficient data pipelines to preprocess and transform data for machine learning tasks, ensuring data quality, consistency, and availability. Machine Learning Engineer, Data Scientist, and experience in causal machine learning is preferred. Our time off and leave plans are: 10 pai...

foundr
CA, United States

Having raised their Series C they are looking to make a pivotal hire on the machine learning team. They are looking to hire a Principal Machine Learning Engineer to join the team and have a big impact on the vision, hiring & overall product as they continue to grow. Foundr are currently engaged with...