Lightning AI Logo

Lightning AI

Network Security Engineer

Posted 6 Hours Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
180K-220K Annually
Entry level
Hybrid
San Francisco, CA, USA
180K-220K Annually
Entry level
Designs, implements, and maintains secure network infrastructure for Lightning AI’s production and AI environments. Responsibilities include firewall, VPN, IDS/IPS, segmentation, vulnerability assessment, penetration testing, SIEM monitoring, incident response, compliance documentation, access controls, and security automation. The role partners with infrastructure and engineering teams to mitigate threats and optimize security controls.
The summary above was generated by AI
Who We Are

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

The Way We Work

The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:

  • Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
  • Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
  • Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
  • Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.
  • Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
  • Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.
 
What We're Looking For

We’re looking for a Network Security Engineer to design, implement, and maintain secure network infrastructure across Lightning AI’s platform. In this role, you’ll take ownership of security systems and controls, working closely with infrastructure and engineering teams to ensure the reliability and protection of our production environment, including safeguarding our AI infrastructure against evolving threats.

This role can be based out of one of our office hubs (San Francisco or Seattle), with in-office requirements of at least 2 days per week and occasional team and company offsites. We are not able to offer visa sponsorship for this position at this time.

What You'll Do
  • Network Security Design & Implementation: Architect robust network infrastructures, leveraging firewalls, VPNs, IDS/IPS, and network segmentation to enhance security.
  • Threat Prevention & Risk Mitigation: Conduct comprehensive vulnerability assessments and penetration tests, ensuring robust security policies and access controls.
  • Monitoring & Incident Response: Utilize SIEM tools for proactive threat detection and collaborate with SOC teams for incident response and breach investigation.
  • Compliance & Security Governance: Ensure compliance with industry standards and regulatory requirements, maintaining thorough security documentation.
  • Security Automation & Optimization: Implement and optimize automation tools for threat detection and response, while staying abreast of emerging security technologies.
What You'll Need
  • Technical Expertise in firewalls (e.g., Palo Alto, Cisco ASA, Fortinet), IDS/IPS, VPNs, SD-WAN, cloud security, and encryption.
  • Proficiency with Security Tools: Experience with SIEM (e.g., Splunk, QRadar), vulnerability scanners (e.g., Nessus, Qualys), and endpoint security solutions.
  • Relevant Certifications, such as CCNP Security, CEH, CISSP, and GIAC Certifications (GSEC, GCIH, GPEN).
  • A Passion for Security: A proactive approach to learning about new security technologies and threats

Compensation

We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.

The anticipated annual base salary range for this role is:
$180,000$220,000 USD
Benefits and Perks

We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success:

  • Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.
  • Meaningful Equity: RSUs that give employees a stake in the company's long-term success.
  • Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).
  • Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.
  • Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.
  • Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments.
  • Professional Development: Annual learning and development allowance to support your professional growth.
  • Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.
  • Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.
  • Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.
  • In-Office Meals: Complimentary meals at our office hubs.

Benefits may vary by location, team, and role.


At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Lightning AI Palo Alto, California, USA Office

955 Alma St, Suite B, Palo Alto, CA, United States, 94301

Similar Jobs

7 Days Ago
In-Office or Remote
United States
Internship
Internship
Digital Media • Fintech • Information Technology • Machine Learning • Financial Services • Cybersecurity • Automation
Supports enterprise network engineering initiatives through connectivity maintenance, network monitoring, troubleshooting, security technology optimization, and collaboration with cloud, infrastructure, cybersecurity, application, vendor, and operations teams. Gains exposure to automation, orchestration, infrastructure as code, service catalogs, observability, and cloud services through a 10-week internship with mentorship and professional development.
Top Skills: .NetAPIsCCloud NetworkingCloud ServicesCybersecurityEnterprise NetworkingFirewallsInfrastructure As CodeJavaJavaScriptNetwork AutomationNetwork ObservabilityNode.jsProxy GatewaysPythonSQL
7 Days Ago
In-Office or Remote
United States
Entry level
Entry level
Digital Media • Fintech • Information Technology • Machine Learning • Financial Services • Cybersecurity • Automation
Participate in a year-long network engineering development program with rotations across cloud networking, enterprise connectivity, network security, monitoring, troubleshooting, automation, infrastructure as code, and observability. Collaborate with network, cybersecurity, cloud, infrastructure, application, vendor, and operations teams while developing technical delivery and problem-solving skills. Successful participants transition to a permanent network engineering team.
Top Skills: APIsAutomationCloud NetworkingEnterprise NetworkingFirewallsInfrastructure As CodeNetwork ObservabilityNetwork SecurityProxy GatewaysScriptingService Catalog Workflows
One Month Ago
In-Office
2 Locations
164K-242K Annually
Senior level
164K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
Design, implement, and improve security controls for operational technology (OT) networks in datacenter environments. Identify and remediate risks, create inventories and risk registers, coordinate penetration testing and vulnerability mitigation, embed security into OT systems, develop recovery and response playbooks, and present technical findings to stakeholders while partnering with engineering and third parties to reduce risk.
Top Skills: AclsAgentic Network ToolingBuilding Management Systems (Bms)C/C++FirewallsGoHvacIncident Response AutomationNetwork AutomationNetwork SegmentationOperational Technology (Ot) NetworksPenetration TestingPythonVirtual Private Networks (Vpn)

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account