AI Software Engineer - New College Graduate

Cohesity • Santa Clara, CA

1d • $120,600 - $134,000

About The Position

Interested candidates based outside of the designated areas are welcome to apply, provided they have the indefinite right to work in the job location. Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale. We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design. Join us on our mission to shape the future of our industry. This technical role is centered on driving Digital Innovation through next-generation technologies and AI to enhance support efficiency and transform the customer experience. The AI Software Engineer will lead the development of intelligent tools, systems, and processes that proactively deflect support cases, accelerate resolution, and minimize overall effort in supporting our products. The team will also collaborate with Engineering to develop and deliver Supportability requirements within the product that help simplify the customer user experience – how they are utilizing the product and when to add capacity, simplify upgrades, troubleshooting and hardware replacement, and focus on self-service. We seek creative problem-solvers who think beyond conventional boundaries and can fuse diverse approaches to deliver swift, impactful solutions. This role combines deep technical expertise with a strong understanding of support workflows to champion supportability and usability, identify pain points, and drive transformation. The engineer must be adept at building dashboards, scripts, telemetry, and accelerated troubleshooting using tools such as Python/Go, Snowflake, Tableau, SFDC, JIRA, and Confluence, while leveraging built-in diagnostics to improve efficiency. AI/ML skills are a strong advantage, enabling predictive and intelligent capabilities within the support ecosystem.

Requirements

• Recently acquired a B.E. or M.Tech. (2025-2026) degree in Engineering or a related field such as Information Technology
• Innovative mindset – ability to think out of the box and fuse diverse approaches to create impactful solutions.
• Strong technical expertise in scripting, automation, and data engineering using Python/Go (or equivalent), Snowflake, Tableau, SFDC, JIRA, and Confluence.
• Deep understanding of support workflows and dependencies, with the ability to identify pain points and drive process improvements.
• Proven experience in building dashboards, telemetry, and troubleshooting tools to accelerate issue resolution.
• Ability to evangelise supportability and usability principles, influencing product design and engineering teams.
• Excellent problem-solving skills, with a focus on connecting methodologies and delivering integrated solutions.
• Strong collaboration and communication skills to work across engineering and support teams effectively.
• Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making

Nice To Haves

• Familiarity with AI/ML concepts and their application in predictive support and intelligent automation (preferred).

Responsibilities

• Collaborate with Engineering to embed Supportability features within products, ensuring seamless customer experiences across capacity planning, upgrades, troubleshooting, and hardware replacement.
• Drive self-service capabilities that simplify product usage and empower customers with intuitive solutions.
• Connect diverse methodologies to craft creative, integrated solutions for complex challenges.
• Apply a deep understanding of support process flows and dependencies to identify pain points and transformation opportunities.
• Build dashboards, scripts, telemetry, and accelerated troubleshooting using tools such as Python/Go, Snowflake, Tableau, SFDC, JIRA, and Confluence.
• Evangelize the value of supportability by leveraging tools and built-in diagnostics to improve debug efficiency.
• Apply AI/ML skills to introduce predictive and intelligent capabilities into the support ecosystem.

Benefits

• full-time employees are eligible to participate in our comprehensive benefits framework, including health and wellness benefits, vacation, paid holidays and refresh days, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 501-1,000 employees