Salesforce · 13 hours ago
Senior/Staff Software Engineer- Machine Learning Infrastructure, Slack
Bellevue, WA
Full-time
Onsite
Senior Level, Lead/Staff
$172K/yr - $314K/yrSalesforce is the #1 AI CRM, where humans with agents drive customer success together. They are looking for a Senior or Staff Software Engineer to join the ML Infrastructure focus area, responsible for architecting and operating core systems that power AI at Slack, ensuring reliability and scalability.
Artificial Intelligence (AI)Cloud ComputingEnterprise SoftwareSaaSSoftwareAgentic AICRMSales Enablement
Responsibilities
Design, build, and operate systems to train, serve, and deploy machine learning models at scale, with a focus on reliability, performance, and operational simplicity
Evolve GPU backed inference infrastructure to support high throughput, latency sensitive workloads, including large scale model serving
Architect and optimize distributed training and data processing systems using platforms such as Ray, Airflow, Spark, or similar technologies
Build and maintain Kubernetes based platforms and orchestration layers using tools such as KubeRay, vLLM, and internally developed services
Architect solutions that bridge legacy systems with modern technologies while maintaining monolithic application stability
Develop robust monitoring, observability, and alerting for production ML workloads to ensure operational excellence
Partner closely with AI Platform, ML modeling, security, and product engineering teams to design infrastructure that supports evolving AI use cases
Provide technical leadership through design reviews, mentorship, and by setting engineering standards and long term architectural direction for ML infrastructure
Author technical design and architecture documentation, and contribute thought leadership through engineering blog posts
Qualification
Required
Significant professional experience in software engineering with a strong focus on infrastructure, backend systems, platform engineering, or MLOps
Deep experience building and operating distributed systems, including expert level knowledge of Kubernetes and container based platforms
Hands on experience with modern ML infrastructure and serving stacks such as Ray or KubeRay, vLLM, or similar training and inference orchestration frameworks
Experience working with GPU infrastructure, including performance optimization and operational management at scale
Strong experience with data infrastructure and orchestration technologies such as Airflow, Spark, or similar systems
Experience building and operating cloud native systems on public cloud platforms such as AWS, GCP, or Azure, including infrastructure as code
A demonstrated ability to drive technical direction for complex systems and balance short term delivery with long term architectural goals
Excellent written communication, as well as ability to thrive in an asynchronous and globally distributed infrastructure team
A related technical degree required
Benefits
Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program
Company
Salesforce
Salesforce is a cloud-based software company that provides customer relationship management software and applications.
Founded in 1999
10001+ employees
H1B Sponsorship
Salesforce has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1883)
2024 (2296)
2023 (1850)
2022 (2849)
2021 (2124)
2020 (1960)
Funding
Current Stage
Public CompanyTotal Funding
$65.38MKey Investors
Starboard ValueEmergence CapitalHalsey Minor
2022-10-18Post Ipo Equity
2004-06-23IPO
2003-01-01Series Unknown· $1M
Leadership Team
Arundhati Bhattacharya
Chairman & Ceo Salesforce India
Kendall Collins
CEO, GovCloud - Salesforce
Recent News
Morningstar.com
2026-02-09
Company data provided by crunchbase