Systems Research Engineer, GPU Programming Job at Together AI (San Francisco)

Geoint Systems Engineer

Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Def...

Location

United States , Aberdeen Proving Grounds; Alexandria

Salary:

Not provided

Reinventing Geospatial

Expiration Date

Until further notice

Requirements

Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph
US Citizenship Required
Experience with installation, configuration, security hardening, operation, maintenance, and troubleshooting of: Windows operating systems (Server and Desktop environments), Linux operating systems (RHEL, CentOS, Ubuntu, or similar distributions)
Proficiency in managing and troubleshooting enterprise software including: Web servers (Apache, Nginx, IIS), Database systems (PostgreSQL, SQL Server, MySQL, Oracle), Web applications and services Middleware and application servers
Strong scripting and automation capabilities with knowledge of: General programming paradigms including data types, control flow structures, and logic constructs, PowerShell, Python, Bash/Shell scripting experience
Experience with REST API technologies including: Understanding of HTTP methods (GET, POST, PUT, DELETE, PATCH) and the ability to automate API interactions for system integration and operations, JSON/XML data handling
Comprehensive understanding of networking fundamentals: Network protocols (TCP, UDP, multicast, unicast), File sharing protocols (SMB, NFS), IP addressing schemes (IPv4/IPv6) and subnet calculations, Routing concepts and implementation, OSI model and troubleshooting methodology
Experience with network troubleshooting tools and techniques
Knowledge of system hardware architecture for selection, suitability analysis, operation, and troubleshooting: RAID configurations (0, 1, 5, 6, 10), HDD vs. SSD performance characteristics, SAN architecture and management, CPU architectures and performance considerations, RAM capacity and speed requirements, GPU capabilities for geospatial processing workloads
Ability to perform hardware capacity planning and performance optimization

Job Responsibility

Support the installation, configuration, operation, and maintenance of geospatial software systems
Utilize technical expertise across operating systems, enterprise applications, automation technologies, and hardware infrastructure to ensure mission-critical geospatial capabilities remain operational and secure
Analyze system capabilities with AGE and COE compliance requirements and identify gaps
Maintain functional specifications that define essential technical requirements of Legacy DCGS-A, IS&A, Mission Command, and COE CPCE
Maintain system engineering documentation including the System Engineering Plan, Software Requirements Traceability Matrix
Cross reference mapping of GEOINT functional specifications to Intelligence or Mission Command Systems specifications and program-level documents, such as the Capabilities Production Document (CPD), Information Systems Interface Control Document (IS-ICD), and Requirements Definition Package (RDP)
Interact with systems users to translate their requirements into systems, hardware, and software requirements and design
Plan and perform engineering research, design development, and other assignments in conformance with design, engineering and customer specifications
Lead team of engineers through project completion
responsible for major technical/engineering projects of higher complexity

What we offer

100% paid employee healthcare & dental insurance
Paid parental leave
401k with matching
Escalating vacation time
Referral bonuses
Tuition reimbursement
Professional development training
Free beverages and snacks
Weekly catered lunches and breakfast on Fridays

Fulltime

Senior Research Engineer

We are seeking a highly skilled Senior Research Engineer to collaborate closely ...

Location

United States

Salary:

210000.00 - 309000.00 USD / Year

Assembly

Expiration Date

Until further notice

Requirements

Strong expertise in the Python ecosystem and major ML frameworks (PyTorch, JAX)
Experience with lower-level programming (C++ or Rust preferred)
Deep understanding of GPU acceleration (CUDA, profiling, kernel-level optimization)
TPU experience is a strong plus
Proven ability to accelerate deep learning workloads using compiler frameworks, graph optimizations, and parallelization strategies
Solid understanding of the deep learning lifecycle: model design, large-scale training, data processing pipelines, and inference deployment
Strong debugging, profiling, and optimization skills in large-scale distributed environments
Excellent communication and collaboration skills, with the ability to clearly prioritize and articulate impact-driven technical solutions

Job Responsibility

Investigate and mitigate performance bottlenecks in large-scale distributed training and inference systems
Develop and implement both low-level (operator/kernel) and high-level (system/architecture) optimization strategies
Translate research models and prototypes into highly optimized, production-ready inference systems
Explore and integrate inference compilers such as TensorRT, ONNX Runtime, AWS Neuron and Inferentia, or similar technologies
Design, test, and deploy scalable solutions for parallel and distributed workloads on heterogeneous hardware
Facilitate knowledge transfer and bidirectional support between Research and Engineering teams, ensuring alignment of priorities and solutions

What we offer

competitive equity grants
100% employer-paid benefits
flexibility of being fully remote

Fulltime

AI Research Lab Research Associate

We are currently seeking highly qualified interns to accelerate research towards...

Location

United States , Milpitas

Salary:

43.27 - 93.15 USD / Hour

Hewlett Packard Enterprise

Expiration Date

May 26, 2026

Requirements

Pursuing PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, math, statistics, etc.)
Track record of world-class innovative contributions and ideas in machine learning
Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer
Experience in deep learning research
Experience in developing deep learning software with high proficiency in data structures and algorithms
Strong programming skills and experience with Python, C/C++, and preferably Java
Software development experience in Deep Learning, GPU acceleration, and Model Optimization
Experience in Deep Learning and Machine Learning frameworks and models like Tensorflow, PyTorch
Experience in Transformer Neural Network architectures for Generative AI and natural language processing
Experience with Agentic AI and Generative AI workflows - desired

Job Responsibility

Conduct research and come up with solutions with a fast turnaround time
Build the software and applications for Neural Networks and Machine Learning
Work with system programming, Deep Learning frameworks and models, GPU acceleration, Model optimization, real-time streaming data, distributed computing, and deployment
Provide thought leadership and technical influence both internally and externally to HPE
Collaborate with HPE Labs research teams as well as external partners
Work in alignment with HPE's broader innovation community.

What we offer

Health & Wellbeing benefits including physical, financial and emotional wellbeing support
Personal and professional development programs
Unconditional inclusion and flexibility to manage work and personal needs.

Fulltime

Member of Technical Staff, Performance Optimization

We're looking for a Software Engineer focused on Performance Optimization to hel...

Location

United States , San Mateo

Salary:

175000.00 - 220000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
5+ years of experience working on performance optimization or high-performance computing systems
Proficiency in CUDA or ROCm and experience with GPU profiling tools (e.g., Nsight, nvprof, CUPTI)
Familiarity with PyTorch and performance-critical model execution
Experience with distributed system debugging and optimization in multi-GPU environments
Deep understanding of GPU architecture, parallel programming models, and compute kernels

Job Responsibility

Optimize system and GPU performance for high-throughput AI workloads across training and inference
Analyze and improve latency, throughput, memory usage, and compute efficiency
Profile system performance to detect and resolve GPU- and kernel-level bottlenecks
Implement low-level optimizations using CUDA, Triton, and other performance tooling
Drive improvements in execution speed and resource utilization for large-scale model workloads (LLMs, VLMs, and video models)
Collaborate with ML researchers to co-design and tune model architectures for hardware efficiency
Improve support for mixed precision, quantization, and model graph optimization
Build and maintain performance benchmarking and monitoring infrastructure
Scale inference and training systems across multi-GPU, multi-node environments
Evaluate and integrate optimizations for emerging hardware accelerators and specialized runtimes

What we offer

Meaningful equity in a fast-growing startup
Competitive salary
Comprehensive benefits package

Fulltime

Customer Support Engineer

As a Customer Support Engineer at a pioneering AI company, you'll be the first l...

Location

United States , San Francisco

Salary:

180000.00 - 260000.00 USD / Year

Together AI

Expiration Date

Until further notice

Requirements

5+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI
Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments
Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages
Familiarity with operating storage systems in HPC environments such as Vast and Weka
Familiarity with inspecting and resolving network-related errors
Strong knowledge of Python, TypeScript, and/or JavaScript with testing/debugging experience using curl and Postman-like tools
Foundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters
Complex technical problem solving and troubleshooting, with a proactive approach to issue resolution
Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success
Strong sense of ownership and willingness to learn new skills to ensure both team and customer success

Job Responsibility

Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge GPU clusters and our inference and fine-tuning services
ensure swift and effective solutions every time
Become a product expert in all of our Gen AI solutions, serving as the last line of technical defense before issues are escalated to Engineering and Product teams
Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns
collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction
Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support)
Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers
Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers

What we offer

competitive compensation
startup equity
health insurance
flexibility in terms of remote work

Fulltime

Customer Support Engineer

As a Customer Support Engineer at a pioneering AI company, you'll be the first l...

Location

India

Salary:

Not provided

Together AI

Expiration Date

Until further notice

Requirements

5+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI
Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments
Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages
Familiarity with operating storage systems in HPC environments such as Vast and Weka
Familiarity with inspecting and resolving network-related errors
Strong knowledge of Python, TypeScript, and/or JavaScript with testing/debugging experience using curl and Postman-like tools
Foundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters
Complex technical problem solving and troubleshooting, with a proactive approach to issue resolution
Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success
Strong sense of ownership and willingness to learn new skills to ensure both team and customer success

Job Responsibility

Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge GPU clusters and our inference and fine-tuning services
ensure swift and effective solutions every time
Become a product expert in all of our Gen AI solutions, serving as the last line of technical defense before issues are escalated to Engineering and Product teams
Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns
collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction
Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support)
Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers
Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers

What we offer

competitive compensation
startup equity
health insurance
flexibility in terms of remote work for the respective hiring region

Principal Research Engineer - Agent 365

Copilot usage is growing rapidly across Microsoft 365 and custom agent experienc...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Architect and deliver AI systems across model development, data, infra, evaluation, and deployment spanning multiple product lines
Set technical direction for large programs
drive alignment across Research, Engineering, and Product
Integrate LLMs, multimodal models, multi-agent architectures, and RAG into Microsoft’s ecosystem
Establish standards for MLOps, governance, and Responsible AI, compliant with Microsoft principles and industry standards
Drive original research and thought leadership (whitepapers, internal notes, patents)
convert insights into shipped capabilities
Research Translation: Continuously review emerging work
identify high-potential methods and adapt them to Microsoft problem spaces
Production Integration: Turn research prototypes into production-quality code optimized for scale, latency, and maintainability

Fulltime

AI Engineer

Location

Vietnam , Da Nang

Salary:

Not provided

Saigon Technology

Expiration Date

Until further notice

Requirements

Have programming skills in one of these languages: Python, Java...
At least 1 years of experience working with AI/ML projects as a Data Engineer, Research Engineer, or Software Engineer.
Have experience with one of ML/DL Frameworks: Tensorflow, Pytorch, Keras, scikit-learn, Pandas, Langchain, LlamaIndex…
Have experience working with OpenAI, Gemini, any LLM... to build agents, workflows, or RAG systems.
Have experience with one of chatbot building frameworks or services like Rasa, Dialogflow, Transformer, BERT, LLM/Prompt…
Familiar with OCR algorithms or services: OpenCV, Tesseract, Textract (AWS), Google Cloud Vision, PaddleOCR.
Experience with common development tools: Linux, GPU server, Google Colab, Jupyter, Git, Docker.
Good English proficiency and communication skills.

Job Responsibility

Join in developing and applying the ML/DL techniques to resolve our client’s business problems such as building chatbot systems, LLM/Prompt, OCR systems, fraud detection systems, facial recognition systems…
Join in developing some internal products applying AI models

What we offer

Competitive Salary and Brilliant Health Benefits
Attractive salary (13th-month salary, salary review twice/year) and project bonus
Bonus programs for candidate referral, technical article writing
Interest-free loan support for personal plan
Allowance for sickness, maternity, paternity and periodic health examination
PVI health care program
The staff of the quarter and year reward
Progressive and Fun Working Environment
A professional English-speaking working environment with Agile – Scrum model
Hybrid Working Model: Flexible working time and WFH support.

Fulltime

Systems Research Engineer, GPU Programming

Together AI

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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