Principal Software Engineer, Snowflake

Machine Learning

$243-379.5k

+ Eligibility to participate in Snowflake's bonus and equity plan

Python

Java

PyTorch

Expert level

San Francisco Bay Area

3-5 days a week in office (Menlo Park, CA)

AI Data Cloud for data sharing and app building

Job no longer available

AI Data Cloud for data sharing and app building

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Job no longer available

$243-379.5k

+ Eligibility to participate in Snowflake's bonus and equity plan

Python

Java

PyTorch

Expert level

San Francisco Bay Area

3-5 days a week in office (Menlo Park, CA)

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Company mission

On a mission to mobilize the world's data.

Job

Company

Role

Who you are

10+ years experience building large-scale AI/ML systems. Proven leadership as a Principal Engineer focused on ML developer tools and platforms
Passionate about AI/ML infrastructure and applications of LLMs
Deep multi-faceted appreciation in building end-to-end customer facing products. Experience working with cross teams, research teams and product managers
Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems (Fluency in Python, or Java preferred)
Familiarity or (preferred) expertise with machine learning and deep learning frameworks like Pytorch, XGBoost, etc
BS/MS/PhD in Computer Science or related majors

What the job involves

We are seeking a highly experienced and visionary Principal Engineer to lead our efforts in revolutionizing data scientist/MLE productivity through the strategic application of Generative AI to machine learning workflows
This is a unique opportunity to shape the future of data science and ML by building cutting-edge agentic tools and platforms that empower our customers to innovate faster and more efficiently
You will work closely with cross-functional teams including product and research, to identify key challenges and develop innovative solutions that challenge the status quo in the industry
Build customer facing AI based services and platforms for machine learning
Design and implement highly scalable distributed platforms within the global Snowflake platform
Participate in decision-making processes on technical or business issues
Collaborate with engineers across teams to help deliver cross-functional initiatives
Ensure operational readiness of the services and meet the commitments to our customers regarding reliability, availability and performance

Our take

Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organizations of all sizes from unleashing the true value of their data.

The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.

Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 9 rounds)

Feb 2020

$479m

LATE VC

Oct 2018

$450m

LATE VC

Total funding: $1.4bn

Company benefits

Comprehensive health insurance plans
Health savings accounts
Robust retirement plans
Life and disability insurance
Weekly online lunch and learns
Virtual workout classes
Ergonomic work-from-home equipment
On-demand mental health and wellness programs
Fertility benefits and family planning resources
Generous time-off and various leave plans
Onsite and Remote Work
Employee discounts and pre-tax selections
New hire equity + Employee Stock Purchase Plan (ESPP)
Quarterly bonus or commission program

Company HQ

Bozeman, MT

Leadership

Benoit Dageville

(Co-Founder)

Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.

Thierry Cruanes

(Co-Founder)

Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.

Sridhar Ramaswamy

(Chief Executive Officer)

Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.

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