Software Engineer, ML Performance
Serve Robotics$130,000 - $170,000/year
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
$150,000 – $270,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for this position?
The salary range is $150K - $270K.
Is this role remote or hybrid, and where are the offices located?
This is a hybrid role requiring the ability to work in-person in our NYC, San Francisco, or Stockholm offices.
What skills and experience are required for this role?
Candidates need 5+ years of experience writing high-quality, high-performance code, experience with torch, high-level ML frameworks, and inference engines like vLLM or TensorRT, familiarity with Nvidia GPU architecture and CUDA, and performance engineering experience such as boosting GPU performance.
What is the team like at Modal?
The team includes creators of popular open-source projects, academic researchers, international olympiad medalists, and experienced engineering and product leaders, and is a small team based in New York, Stockholm, and San Francisco.
What makes a strong candidate for this role?
Strong candidates have 5+ years of high-performance coding experience, hands-on work with torch, ML frameworks, inference engines, Nvidia GPUs, CUDA, and specific stories of ML performance improvements; familiarity with OS foundations is a nice-to-have.
Modal
Employee training and skill development platform
About Modal
Modal Learning focuses on improving employee performance through skill development for businesses. Their main product, the Modal Mastery Platform, uses active learning techniques, including live cohort sessions, labs, and one-on-one coaching, to help employees engage with the material effectively. Unlike competitors, Modal Learning offers a subscription model that provides structured eight-week training programs, aligning skill development with organizational goals. The company's goal is to empower employees and help organizations retain talent by providing clear career development paths.
San Francisco, CaliforniaHeadquarters
2021Year Founded
$30.8MTotal Funding
EARLY_VCCompany Stage
Consulting, EducationIndustries
51-200Employees
Risks
Competition from established players and emerging startups could dilute Modal's market share.
Focus on data and AI may limit appeal to companies seeking broader skill development.
Economic downturns could reduce corporate spending on employee training, impacting revenue.
Differentiation
Modal offers personalized technical skills training with on-demand coaching.
The platform uses cohort-based learning to enhance engagement and retention.
Modal's strategic skills planning aligns training with business goals.
Upsides
Increased demand for personalized learning experiences boosts Modal's market potential.
Growing emphasis on data and AI skills aligns with Modal's course offerings.
Subscription model provides steady revenue and predictable growth for Modal.
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