Register
Recruit Create CV

Senior Deep Learning Compiler Engineer Jobs

Javascript Virtual Machine Compiler Engineer
By Apple At , Cupertino
Detailed knowledge of C and C++
Excellent debugging, critical thinking, and communication skills
Experience with compilers, parsers, interpreters, and garbage collectors
Detailed knowledge of the JavaScript language
Detailed knowledge of the WebAssembly language
Experience with open source software development
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.
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 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
Deep Learning Researcher Jobs
By Topaz Labs At Dallas, TX, United States
World-class team that executes quickly, obsesses about the customer experience, and promotes from within
PhD in related field, or equivalent industry experience
Significant prior experience with CNNs and other common computer vision network architectures
2 years of hands-on experience with TensorFlow or PyTorch
Rocketship growth and opportunity for impact ($3M → $30M revenue in four years)
Profitable company with infinite runway
Software Engineer, Pytorch - Deep Learning
By NVIDIA At Santa Clara, CA, United States
BS Computer Science, Computer Architecture, Electrical Engineering or a related field (or equivalent experience).
6+ years of experience with C++ and Python programming.
Proven experience developing large software projects.
We require excellent verbal and written communication skills.
Experience with parallel programming for CPU or GPU architectures.
Proven experience working with multidisciplinary teams.
Deep Learning Engineer - Apple Vision Pro
By Apple At Cupertino, CA, United States

Summary Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we ...

(Senior) Scientist, Deep Learning & Genomics
By Precision BioPartners At Cambridge, MA, United States
Extensive experience in developing and maintaining deep learning and machine learning models specifically for biological applications.
Experience developing best data practices for NGS data (single cell preferred)
Develop and utilize machine learning and deep learning in meaningful and impactful ways.
Develop robust models for biological applications and multi-omics datasets.
Develop & maintain predictive models to identify drug candidates.
Develop and maintain DL and ML predictive models that are core to the identification of compounds modulating disease states.
Senior Deep Learning Engineer - Drug Discovery Ai
By NVIDIA At New York, NY, United States
5+ years of relevant experience
BS or MS in a quantitative field such as Statistics, Physics, Computer Science, Mathematics, or a equivalent experience
Experience implementing large language models and geometric deep learning models
Knowledge of implementing model parallelism techniques for large scale models
Maintain and improve NVIDIA's BioNemo and related software
Scale up testing of framework software for deep learning model development
Senior Deep Learning Engineer
By NVIDIA At New York, NY, United States
Degree in Computer Science or closely related major. B.S. is required or equivalent experience, graduate degree is a plus
3+ years of experience with deep learning tools (academic experience counts)
Maintain and improve NVIDIA NeMo toolkit and similar tools
End-to-end responsibility for major features
Responsibility for the software quality, test coverage and documentation
Collaborating with internal and external teams on product integrations
Perception Engineer (Deep Learning)
By Reach Velocity - Emerging Technology 🇺🇸 🇬🇧 🇪🇺 At California, United States
Solid programming skills in C++ (Additional experience in other languages, e.g. Python would also be favorable)
Hands-on experiences on autonomous vehicles or ground wheel robots
Demonstrated ability to build real-time algorithms
Theoretical understanding of object detection, segmentation, graphical methods, probabilistic algorithms, optimization, and deep learning.
3D point cloud-based algorithms (e.g. segmentation, filtering, surface estimation/fitting, interpolation/extrapolation)
At least one publication to one of the following conferences: RSS, ICRA, IROS, CVPR, ICCV, ECCV, AAAI, or ICML
Javascript Virtual Machine Compiler Engineer
By Apple At New York, NY, United States

Summary The WebKit JavaScript Virtual Machine is responsible for executing the JavaScript and WebAssembly code found in web pages. It uses type inference, dynamic compilation, and sophisticated ...

Deep Learning Engineer Jobs
By SBT At Greater Boston, United States
Experience in developing machine learning approaches for drug discovery, molecular dynamics, biophysics, structural biology, biochemistry, quantum chemistry, cheminformatics
All experience levels will be considered
M.S. or Ph.D. is highly preferred
Pharma/biotech., tech., academic labs, ML-driven startups doing drug discovery/protein research are all relevant backgrounds
SBT is the exclusive executive recruiting firm for this confidential position.
Software Engineer, Prediction, Deep Learning
By Waymo At Mountain View, CA, United States
PhD in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
Experience in data science including data collection, analysis, hypothesis formulation and verification
Experience in applied Machine Learning including data engineering, model deployment, A/B testing
Experience in Deep Learning research and tools such as TensorFlow or Pytorch
Software design and development experience in Python and C++
Experience in applying ML for control or planning problems (e.g. Imitation Learning, Behavior Prediction, Reinforcement Learning)
Javascript Virtual Machine Compiler Engineer
By Apple At Cupertino, CA, United States

Summary The WebKit JavaScript Virtual Machine is responsible for executing the JavaScript and WebAssembly code found in web pages. It uses type inference, dynamic compilation, and sophisticated ...

Deep Learning Compiler Engineer
By Quadric At Burlingame, CA, United States
Apply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problems
MS or Ph.D. in Computer Science, or related field, with a minimum of eight years of experience in the industry
Knowledge of both classical as well as ML algorithms, e.g., Computer Vision, DSP, DNNs, etc.
Experience using / developing in TVM
Knowledge of front-end and back-end compiler techniques
Drive the lowering and optimization of cutting edge deep neural networks using Quadric’s technology

Are you a Senior Deep Learning Compiler Engineer looking for a new challenge? We are looking for an experienced engineer to join our team and help us develop cutting-edge compiler technology for deep learning applications. You will have the opportunity to work on a wide range of projects, from optimizing existing algorithms to developing new ones. If you have a passion for compiler engineering and deep learning, this is the perfect job for you!

A Senior Deep Learning Compiler Engineer is responsible for developing and optimizing compilers for deep learning applications. They must have a strong understanding of deep learning algorithms and architectures, as well as a deep understanding of compiler design and optimization techniques.

What is Senior Deep Learning Compiler Engineer Skills Required?

• Expertise in deep learning algorithms and architectures
• Expertise in compiler design and optimization techniques
• Knowledge of programming languages such as C/C++, Python, and Java
• Knowledge of parallel computing architectures and distributed systems
• Ability to debug and optimize code
• Ability to work independently and collaboratively

What is Senior Deep Learning Compiler Engineer Qualifications?

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field
• 5+ years of experience in compiler design and optimization
• Experience with deep learning frameworks such as TensorFlow, PyTorch, and Caffe
• Experience with parallel computing architectures and distributed systems
• Experience with programming languages such as C/C++, Python, and Java

What is Senior Deep Learning Compiler Engineer Knowledge?

• Knowledge of deep learning algorithms and architectures
• Knowledge of compiler design and optimization techniques
• Knowledge of parallel computing architectures and distributed systems
• Knowledge of programming languages such as C/C++, Python, and Java

What is Senior Deep Learning Compiler Engineer Experience?

• 5