Lambda
Senior Software Engineer - Inference Backend
Lambda, San Francisco, California, United States, 94199
Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda's product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services - servicing government, researchers, startups and Enterprises world-wide.
If you'd like to build the world's best deep learning cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You'll Do
Work on our
Inference service , helping us to develop our large-scale platform for running new, cutting-edge models across tens of thousands of GPUs Help build a
high-throughput, low-latency
API and routing system running at
geographically-distributed scale Work with the team and our internal ML researchers to adopt and improve
new inference engines, models and architectures
across a variety of different mediums (such as text, image, video and audio) Shape a
highly reliable distributed system
with a focus on reducing operational overhead and deep observability and capacity management. Help push Lambda forward into the
state of the art , and be part of a team that is operating right at the edge of new developments in the industry. You
5 or more years
of experience as a software engineer working on large-scale production services 1 year or more
of experience working with machine learning (inference experience preferred, but other areas are acceptable) Highly skilled at writing
Go
or
Python Product-focused engineer, always considering the user and operational costs as you are exploring new Proven track record of working in an environment with
rapid deployment
and the ability to stay on top of shifting priorities as the industry rapidly develops Willingness to take
ownership
of projects and help drive them forwards through design, implementation, launch, and maintenance. Some experience running and operating
production services
handling real-time web/internet traffic Nice to Have
Have built ML inference systems at scale Experience developing large-scale, geographically distributed systems Intermediate or better skill at writing Rust Experience developing Kubernetes operators and components Network engineering experience If you don't meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
If you'd like to build the world's best deep learning cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You'll Do
Work on our
Inference service , helping us to develop our large-scale platform for running new, cutting-edge models across tens of thousands of GPUs Help build a
high-throughput, low-latency
API and routing system running at
geographically-distributed scale Work with the team and our internal ML researchers to adopt and improve
new inference engines, models and architectures
across a variety of different mediums (such as text, image, video and audio) Shape a
highly reliable distributed system
with a focus on reducing operational overhead and deep observability and capacity management. Help push Lambda forward into the
state of the art , and be part of a team that is operating right at the edge of new developments in the industry. You
5 or more years
of experience as a software engineer working on large-scale production services 1 year or more
of experience working with machine learning (inference experience preferred, but other areas are acceptable) Highly skilled at writing
Go
or
Python Product-focused engineer, always considering the user and operational costs as you are exploring new Proven track record of working in an environment with
rapid deployment
and the ability to stay on top of shifting priorities as the industry rapidly develops Willingness to take
ownership
of projects and help drive them forwards through design, implementation, launch, and maintenance. Some experience running and operating
production services
handling real-time web/internet traffic Nice to Have
Have built ML inference systems at scale Experience developing large-scale, geographically distributed systems Intermediate or better skill at writing Rust Experience developing Kubernetes operators and components Network engineering experience If you don't meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.