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Deep Learning Engineer Jobs

Algorithm Engineer (Deep Learning/C++)(E)
By KLA At Milpitas, CA, United States
Collaborate with software and computer groups to design and implement data management, model training and inference flows.
Bring forward creative ideas, develop proof-of-concepts, integrate algorithms into production code, and work with other team members in global project teams.
Apply to this posting for Future Opportunities with KLA.
Academic background required in any one of the following areas:
Familiarity with any one of the following is a plus:
Director Of Deep Learning Research
By Acceler8 Talent At Texas, United States
Full range of benefits - 100% covered medical/ dental/ vision
What we can offer a Director of Deep Learning Research:
Will compensate for relocation (with stipend upon offer) as we are a fully on-site team!
Make a profound impact at a high-growth tech software company
Competitive base salary and annual bonus
15 days annual PTO plus holidays
Software Engineer, Deep Learning Cudnn - New College Grad 2024
By NVIDIA At Santa Clara, CA, United States
B.S. degree or higher in computer science (or similar) or equivalent experience
Strong programming skills in C/C++ development and familiarity with Python.
Excellent problem solving skills, including applications of algorithms and data structures.
Experience with performance analysis, profiling, and code optimization.
Practical experience with machine learning, especially deep learning.
Experience with computer architecture and building performance models for CPUs, GPUs, or other accelerators.
Research Scientist, Efficient Deep Learning - New College Grad 2024
By NVIDIA At , Santa Clara $156,000 - $247,250 a year
Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.
Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
Experience with large language models and large vision-language models is a plus.
Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.
Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
Research, design and implement novel methods for efficient deep learning.
Senior Computer Architect - Deep Learning
By NVIDIA At , Santa Clara $176,000 - $333,500 a year
MS or PhD degree in computer science, computer architecture, electrical engineering or related field or equivalent experience.
Experience with deep learning workloads, including performance tuning considerations such as parallelization and fusion strategies;
Experience with core deep learning kernels such as matrix multiply and convolution
Experience with GPU computing (CUDA)
Experience with deep learning frameworks like PyTorch
Programming fluency with C++ and ideally Python
Deep Learning Research Engineer
By Cubiq Recruitment At United States
Remote - Must already be US-based
Highly competitive salary, leading equity package, and benefits.
- +3 yrs experience after PhD (industry or post-doctoral research)
large-scale causal inference, deep learning, generative AI, and reinforcement learning
- Have worked in the system biology, omics or single cell field
You can apply below or contact Jack Cartlidge at Cubiq Recruitment for more information.
Director Of Enterprise Software Quality Assurance, Deep Learning
By NVIDIA At , Santa Clara $264,000 - $402,500 a year
BS or MS in CS/EE/CE or equivalent experience
Experience and expertise in machine learning, and other AI technologies
Experience working in agile development environments
Influencing skills including indirect influence, leading with vision and value
Good analytical skills, ability to solve complex problems through analytics and data-driven approach to decision making
You should have with strong analytical, trouble shooting skills , and should have high capability in driving issues to close
Senior Technical Writer, Deep Learning Products
By NVIDIA At , Santa Clara $112,000 - $212,750 a year
We prefer that you possess some computer programming experience and/or extensive experience documenting APIs in the code.
Experience with Sphinx, using reStructuredText and/or Markdown, would help set you apart.
Some experience with DITA (ideally using Oxygen XML Editor) would also be helpful.
Skills for supporting multiple projects and multi-tasking.
BA/BS in Technical Communications, Computer Science, Engineering, or related field (or equivalent experience).
Experience with Acrolinx, Grammarly, or similar tools.
Senior Technical Program Manager, Deep Learning Enterprise Server Software
By NVIDIA At Oregon, United States
Must have hands on experience with software development and process specifically for system software development.
Experience influencing decisions and leading teams in a matrix environment.
It is important to have excellent communications and technical presentation skills.
BS, EE or CS or equivalent experience with 7+ years of experience.
Previous experience with productizing enterprise server systems including experience of - coordinating activities between HW / SW organizations is highly desirable.
Experience with productivity tools and process automation is big plus.
Senior Deep Learning Engineer, Ai
By NVIDIA At Santa Clara, CA, United States
Strong knowledge of C/C++, python and firsthand experience with parallel programming, ideally CUDA C/C++.
A Bachelors or Masters Degree in an engineering or computer science related field or equivalent experience
8+ years of relevant work experience. 5+ years in Machine Learning frameworks such as PyTorch, Tensorflow, ONNX Runtime, and TensorRT
Study and work on ground breaking Generative AI models. Ensure the best possible performance on current- and next-generation GPU architectures.
Architect, design and use your coding expertise to optimize, deploy and productize AI models. Write effective, maintainable, and well-tested code
Collaborate closely with the architecture, research, libraries and tools teams at NVIDIA to achieve ideal results for AI problems at hand
Remote - Research Engineer (Ai, Deep Learning, Llm)
By CyberCoders At Boston, MA, United States
Pre training of large GPU clusters
Optimize Inference throughput of custom neural net architectures
Develop, test and optimize algorithms for new neural net architectures
Scrap and compile internet-scale data
Work with world class Engineers
Send a copy of your resume along with your availability in PST hours to [email protected]
Deep Learning Algorithm Engineer - New College Grad 2023
By NVIDIA At Santa Clara, CA, United States
Strong Mathematical fundamentals and algorithms skills or experience.
Project management tools (e.g. JIRA, Git, Microsoft Project).
PhD or Masters or equivalent experience.
Experience in Computer Science, Artificial Intelligence, Applied Math.
Excellent programming, debugging, performance analysis, and test design skills.
Ability to work independently and manage individuals’ R&D efforts.
Deep Learning Data Scientist
By Fair Edge At San Francisco Bay Area, United States
Experience in financial engineering and quantitative modeling, including formulating trading strategies
Graduate degree in computer science, data science, AI/ML, mathematics/statistics, engineering, or an equivalent technical field
Excelled in a fast-paced startup environment
Profit sharing (estimated minimum value of $25,000/year; maximum is uncapped)
But this position will likely be part of our first physical office (in the San Francisco Bay Area)
Non-Bay Area candidates are welcomed to apply if they plan to relocate to the San Francisco Bay Area
Deep Learning Associate Intern
By Gemini Consulting & Services At St Louis, MO, United States
Need minimum of 1 year work experience in data science or related field.
Aid in implementing skills of a Data Scientist Level 1.
Knowledge of Python and basic understanding of DL tools.
Excellent communication and writing skills.
Preference for last semester international students.
Support the Deep Learning team with tasks related to DL tools and transformer-based models.
Software Engineer, Deep Learning Inference Workflows - New College Grad 2023
By NVIDIA At Santa Clara, CA, United States
BS, MS, PhD or equivalent experience in Computer Science, Computer Engineering
Excellent communication skills, and an interest in collaboration and teamwork
Experience in working with TensorRT, PyTorch, TensorFlow, ONNX Runtime or other ML frameworks
Experience in GPU kernel programming using CUDA or OpenCL.
Develop components of TensorRT, NVIDIA’s SDK for high-performance deep learning inference.
Use C++ and Python to build graph parsers, optimizers, and tools for effective deployment of trained deep learning models.
Ai & Deep Learning Researcher
By Precision BioPartners At Los Angeles, CA, United States
Formal training in Deep Learning and experience with one or more of the following: Graph Neural Networks, Diffusion Models. Transformers
Develop Deep Learning approaches to solving long-standing problems in Biology
Train cutting-edge Neural Networks on complex biological data
Develop highly sophisticated models to reduce the time/cost related to therapeutics development
Ph.D. in Computer Science, Machine Learning, Mathematics, Data Science, Statistics, Physics, or a related field.
Strong background in Mathematics (Linear Algebra, Calculus, Statistics, and Probability Theory)
Deep Learning Software Engineer Intern, Ai - Fall 2023
By NVIDIA At Santa Clara, CA, United States
Demonstrated strong C++ programming and software design skills, including debugging, problem solving, performance analysis, and test design
Experience with performance-oriented parallel programming, even if it’s not on GPUs (e.g. with OpenMP or pthreads)
Or experience in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel)
Experience in optimizing/tuning BLAS or deep learning library kernel code
Experience with code coverage and static code analysis tools
Writing highly tuned compute kernels, mostly in C++ CUDA, to perform core deep learning operations (e.g. matrix multiplies, convolutions, normalizations)
Deep Learning Algorithm Engineering Intern
By NVIDIA At Santa Clara, CA, United States
Strong Mathematical fundamentals and algorithms skills or experience.
Excellent analytical, programming, debugging, performance analysis, and test design skills.
Experience doing performance analysis and tuning.
Excellent C/C++, GPU programming (CUDA or OpenCL) skills.
Develop algorithms for deep learning, data analytics, machine learning, or scientific computing.
Construct and curate large problem specific datasets.
Deep Learning Language Engineer
By NVIDIA At Santa Clara, CA, United States
Masters or PhD in Computational Linguistics (or equivalent field with computational emphasis) or equivalent experience
Knowledge of scripting languages (e.g. Python, bash)
Knowledge of grammar, language structure, phonetics/phonology, and ability to analyze/validate phonetic transcriptions
Experience with building and customizing large language models, speech recognition, and speech synthesis models
Excellent written and spoken communication skills
Experience with MLOps workflows & traceability and versioning of datasets and understanding of MLOps life cycle
Software Development Engineer In Test - Deep Learning Devops
By NVIDIA At Santa Clara, CA, United States
BS in Computer Science, Computer Engineering, Mathematics or related field or equivalent experience
2+ years work experience in a software development or test organization.
Experience with Docker, GitLab and GitLab CI
You should be focused, learn quickly, and have strong analytical skills with attention to detail. Strong troubleshooting and debugging skills.
Experience in CI/CD using cloud-based solutions (NGC, GCP, AWS)
Experience with Bazel, Kubernetes, Ansible or Artifactory

Are you a Deep Learning Engineer looking to make a real impact? We are looking for a creative and innovative engineer to join our team and help us build the next generation of AI-powered products. You will have the opportunity to work with cutting-edge technologies and develop solutions that will revolutionize the way people interact with technology. If you are passionate about deep learning and have the skills to make it happen, this is the job for you!

A Deep Learning Engineer is a software engineer who specializes in developing and deploying deep learning models. They are responsible for designing, building, and maintaining deep learning systems.

What is Deep Learning Engineer Skills Required?

• Proficiency in programming languages such as Python, C++, and Java
• Knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Understanding of neural networks and related algorithms
• Ability to debug and optimize deep learning models
• Experience with cloud computing platforms such as AWS and GCP
• Knowledge of machine learning techniques and best practices

What is Deep Learning Engineer Qualifications?

• Bachelor’s degree in Computer Science, Mathematics, or a related field
• Experience with deep learning and related technologies
• Knowledge of software engineering principles and practices

What is Deep Learning Engineer Knowledge?

• Knowledge of deep learning algorithms and architectures
• Understanding of machine learning techniques and best practices
• Knowledge of software engineering principles and practices
• Understanding of neural networks and related algorithms

What is Deep Learning Engineer Experience?

• Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Experience with cloud computing platforms such as AWS and GCP
• Experience with debugging and optimizing deep learning models

What is Deep Learning Engineer Responsibilities?

• Design