招聘
About the Role
As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.
Requirements
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Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.
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Knowledge of ML/AI applications and models
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Knowledge of performance profiling and optimization tools for GPU programming
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Excellent problem-solving and analytical skills
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Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences
Responsibilities
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Optimize and fine-tune GPU code to achieve better performance and scalability
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Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
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Stay up-to-date with the latest advancements in GPU programming techniques and technologies
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as Flash Attention, Hyena, Flex Gen, and Red Pajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
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About Together AI

Together AI
Series BData annotation company.
51-200
Employees
San Francisco
Headquarters
$1.25B
Valuation
Reviews
4.0
19 reviews
Work Life Balance
3.5
Compensation
4.5
Culture
4.0
Career
4.3
Management
3.5
79%
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Pros
Cutting-edge technology stack and interesting technical challenges
Competitive compensation packages with equity
Strong engineering culture with focus on code quality
Cons
Organizational changes and restructuring can be disruptive
Internal politics in some teams
Work-life balance can be challenging during product launches
Salary Ranges
0 data points
Mid/L4
Mid/L4 · Product Designer
0 reports
$156,800
total / year
Base
$156,800
Stock
-
Bonus
-
$133,280
$180,320
Interview Experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
System Design Round
6
Onsite/Virtual Interviews
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Infrastructure/SRE
MLOps/Machine Learning
News & Buzz
Together AI – Weekly Recap - TipRanks
Source: TipRanks
News
·
6w ago
Tech firms move toward significant office leases in S.F.’s Showplace Square - San Francisco Chronicle
Source: San Francisco Chronicle
News
·
7w ago
Together AI Emphasizes Practical Framework for Selecting Open-Source Models in Production - TipRanks
Source: TipRanks
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·
7w ago
Baseten nabs $300M from IVP, CapitalG to challenge Together AI in inference - Tech Funding News
Source: Tech Funding News
News
·
8w ago




