Software Engineer - Model Performance
Baseten150,000 - 250,000 USD/year
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Deep Learning, Software DevelopmentIndustries
Requirements
Candidates should possess a Master’s or PhD degree, or equivalent experience, in Computer Science, Computer Engineering, or a related field. They must have at least 8 years of experience in software development, with demonstrated proficiency in Rust, Python, or C++. Strong debugging, performance analysis, and test design skills are essential, along with experience in high-scale distributed systems and ML systems. Familiarity with deep learning algorithms and frameworks, particularly Large Language Models such as PyTorch, TensorRT, and ONNX Runtime, is highly desirable.
Responsibilities
As a Senior System Software Engineer, the individual will develop open source software to serve inference of trained AI models running on GPUs, balancing objectives such as building robust, scalable, and high-performance software components, prioritizing features with team leads, load-balancing asynchronous requests, optimizing prediction throughput, and integrating the latest open source technology. They will also work with cloud services using HTTP REST, gRPC, protobuf, JSON, and related technologies, and contribute to the efficient implementation of AI systems based on the latest research.
Skills
Rust
Python
C++
Distributed Systems
ML Systems
Performance Optimization
Open Source Technologies
AI Inference
Deep Learning
PyTorch
TensorRT
ONNX Runtime
HTTP REST
gRPC
protobuf
JSON
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Key Metrics
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees