RunPod, Inc.

RunPod, Inc. is a technology company focused on cloud solutions, currently looking to expand its team with positions such as Cloud Software Engineer and Technical Support Analyst (L2).

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🔥 Data Scientist
Posted 2024-11-09

📍 US, Canada, Europe

🧭 Full-Time

💸 180000 - 210000 USD per year

🔍 AI and machine learning

  • Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
  • Experience: 3+ years in a Data Scientist or similar role, ideally in a SaaS or IaaS setting.
  • Proficiency in Python or R for data analysis and modeling.
  • Strong SQL skills for data extraction and manipulation.
  • Experience with predictive modeling including lookalike modeling, churn prediction, and LTV estimation.
  • Familiarity with revenue forecasting methods with multiple data inputs.
  • Knowledge of machine learning libraries like scikit-learn, TensorFlow, and data visualization tools such as Mode, Tableau, or Power BI.
  • Experience with data warehousing platforms such as Snowflake, Athena, or Redshift.
  • Strong communication skills for presenting findings to non-technical stakeholders.
  • Ability to work cross-functionally with product, engineering, and sales teams.
  • A proactive problem-solving mindset.

  • Build lookalike models to predict user profiles and algorithms for Customer Lifetime Value (LTV).
  • Identify key behaviors associated with retention and create churn prediction models.
  • Translate data discoveries into actionable recommendations for sales, product, and marketing teams.
  • Collaborate with stakeholders to promote data-driven initiatives focusing on user retention and engagement.
  • Develop dynamic revenue forecasts, accounting for signup rates, conversion metrics, and churn.

PythonSQLData AnalysisMachine LearningSnowflakeTableauStrategyAlgorithmsData analysisData scienceTensorflowCommunication Skills

Posted 2024-11-09
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📍 USA

🧭 Full-Time

💸 152000 - 175000 USD per year

🔍 AI and machine learning

  • Deep knowledge of Linux kernel internals, containerization (Docker), virtualization (Kata/QEMU), and networking components.
  • Extensive experience with distributed system troubleshooting and design.
  • Proficiency in at least one programming language, preferably Python or Golang.
  • Proven experience implementing and managing SLIs and SLOs.
  • Experience with pull-based configuration management tools such as Chef or Puppet.
  • Demonstrated ability to manage large-scale bare-metal fleets (5,000+ machines) across multiple data centers.
  • Strong background in implementing secure best practices for foundational systems, including secret management, AWS IAM permissions, and key distribution systems.
  • Comprehensive understanding of OSI model Layers 3, 4, and 7.
  • Successful completion of a background check.

  • Design, implement, and maintain robust, scalable, and highly available systems.
  • Troubleshoot and resolve complex issues in distributed environments.
  • Develop and implement SLIs and SLOs to ensure system reliability and performance.
  • Manage and optimize large-scale bare-metal fleets across multiple data centers.
  • Implement and maintain secure practices for foundational systems.
  • Collaborate with cross-functional teams to improve system design and operation.
  • Automate processes to increase efficiency and reduce human error.
  • Participate in on-call rotations to provide 24/7 support for critical systems.

DockerPythonGolangGrafanaCommunication Skills

Posted 2024-11-07
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🔥 Security Engineer
Posted 2024-11-07

📍 USA

🧭 Full-Time

💸 152000 - 175000 USD per year

🔍 AI and cloud computing

  • Bachelor's degree in Computer Science, Cybersecurity, or a related field.
  • 5+ years of experience in information security roles, with a focus on cloud security.
  • Strong programming skills in at least one language (ideally, Python, Go, or C).
  • Extensive knowledge of Linux kernel internals, containerization technologies, and virtualization.
  • Deep understanding of workload/network isolation techniques in multitenant cloud environments.
  • Experience securing and hardening cloud infrastructure, particularly in environments with untrusted workloads.
  • Familiarity with GPU architecture and security considerations in GPU cloud computing.
  • Strong background in network security, application security, and cloud-native security practices.
  • Experience with security testing tools and methodologies (e.g., OWASP, Burp Suite, static/dynamic analysis tools).
  • Familiarity with common cybersecurity frameworks (e.g., NIST, CIS Controls) and their application to cloud environments.
  • Excellent problem-solving skills and ability to think creatively about security challenges in cloud computing.
  • Successful completion of a background check.

  • Design and implement secure architectures for RunPod's multitenant GPU cloud platform, ensuring strong isolation between customer workloads.
  • Conduct thorough security assessments, including threat modeling, code reviews, and penetration testing of our cloud infrastructure and services.
  • Develop and implement security fixes and improvements in collaboration with software engineering teams.
  • Implement and manage security tools and systems (e.g., SIEM, WAF, EDR).
  • Create and maintain security documentation, including policies, procedures, and technical guidelines specific to GPU cloud security.
  • Provide security guidance and training to development teams to foster a security-first culture in cloud development.
  • Participate in incident response activities and contribute to post-incident analysis and improvements.
  • Collaborate with operations team to ensure adherence to relevant standards (e.g., SOC 2, ISO 27001, GDPR).

DockerPythonSoftware DevelopmentCloud ComputingCybersecurityKubernetesGoCollaborationProblem SolvingLinux

Posted 2024-11-07
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📍 United States

💸 90000 - 130000 USD per year

🔍 AI and machine learning

  • A robust understanding of our ideal customer (AI developers), their pain points and how to target them.
  • A history of doing great Google Ads work in the past e.g., running ecommerce campaigns with >2x 12mo ROAS on >1M annual ad spend.
  • Great copywriting skills.
  • Strong communication skills.
  • Successful completion of a background check.

  • Full ownership over existing Google Ads campaigns.
  • Creating new Google ads campaigns to further drive user acquisition.
  • Experimenting with other Ads platforms and creating strategies for them.
  • Keyword research for better targeting potential users.
  • Testing Google ads budgets to maximize ROAS.
  • Writing world-class Ad copy.
  • Working with design contractors to get ad creatives.

Communication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07
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🔥 Data Analyst
Posted 2024-11-07

📍 US, Canada, Europe

🧭 Full-Time

💸 140000 - 160000 USD per year

🔍 AI and machine learning

  • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. A Master’s degree is a plus.
  • At least three years of experience in a data analytics role, preferably with user and machine data exposure.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Proficiency in data analysis tools and programming languages such as SQL, Python, and R.
  • Experience with data visualization tools (e.g., Mode, Tableau, or Power BI).
  • Experience with data warehousing platforms (e.g., Snowflake, Athena, or Redshift).
  • Excellent verbal and written communication skills, with the ability to translate complex data into actionable insights.
  • Strong problem-solving skills.
  • Successful completion of a background check.

  • Analyze large, complex datasets to extract actionable insights about users, product performance, and operational efficiency.
  • Work closely with cross-functional teams, including engineering, marketing, operations, and sales, to support data-driven decision-making.
  • Develop and implement data collection systems and strategies that optimize statistical efficiency and data quality.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Prepare reports and dashboards that use relevant data to communicate trends, patterns, and predictions.
  • Collaborate with engineering teams to enhance data collection and analysis processes.
  • Present findings and recommendations to stakeholders and executive leadership clearly and compellingly.
  • Stay abreast of industry trends and best practices in data analysis and data science.

PythonSQLData AnalysisSnowflakeTableauData analysisData scienceCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07
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🔥 VP, Marketing
Posted 2024-10-25

📍 USA

🧭 Full-Time

💸 200000 - 250000 USD per year

🔍 AI and machine learning

  • 7+ years of experience in marketing leadership roles.
  • Experience in SaaS, tech, or developer tooling industries.
  • Proven record of building and scaling marketing functions.
  • Understanding of product-led growth (PLG) strategies.
  • Expertise in driving demand generation and customer acquisition funnels.
  • Experience with cross-functional team collaboration.
  • Exceptional communication skills for diverse audiences.
  • Experience with managing marketing budgets.

  • Create and implement a marketing strategy focusing on product-led growth.
  • Own the product marketing function and drive go-to-market strategies.
  • Elevate the brand identity and ensure consistent messaging.
  • Lead demand generation initiatives to acquire customers.
  • Oversee marketing communications including content creation and PR.
  • Collaborate with product and developer relations teams.
  • Manage marketing budget and set performance metrics.
  • Position RunPod to target enterprise-level customers.

LeadershipStrategyContent creationServerlessCommunication SkillsCollaboration

Posted 2024-10-25
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📍 USA

🧭 Full-Time

💸 180000 - 200000 USD per year

🔍 AI and machine learning

  • 5+ years of experience in Site Reliability Engineering or a similar role.
  • 3+ years of experience in a technical leadership or management position.
  • Deep understanding of Linux systems, containerization, virtualization, and networking technologies.
  • Strong background in managing large-scale distributed systems and bare-metal fleets.
  • Expertise in infrastructure-as-code and configuration management tools.
  • Proficiency in at least one programming language, preferably Python or Golang.
  • Experience with cloud platforms (AWS, GCP, Azure) and services.
  • Strong knowledge of monitoring, observability, and alerting systems.
  • Excellent problem-solving skills for managing complex incidents.
  • Proven track record with SLIs, SLOs, and SLAs.
  • Strong communication skills for conveying technical concepts to various stakeholders.

  • Lead and mentor a team of Site Reliability Engineers, fostering a culture of innovation and technical excellence.
  • Develop and implement strategic plans to enhance the reliability and scalability of our infrastructure.
  • Collaborate with cross-functional teams to align SRE initiatives with organizational goals.
  • Establish and maintain SLIs, SLOs, and SLAs for critical systems.
  • Drive the adoption of best practices in automation and incident response.
  • Oversee management of large-scale bare-metal fleets across multiple data centers.
  • Ensure robust security practices are implemented throughout infrastructure.
  • Manage on-call rotations and escalate during critical incidents.
  • Contribute to capacity planning and resource allocation for growth.
  • Develop and track KPIs for SRE team and infrastructure health.

AWSLeadershipPythonGCPMachine LearningAzureGolangCommunication SkillsProblem Solving

Posted 2024-10-19
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📍 USA

🧭 Full-Time

💸 150000 - 200000 USD per year

🔍 AI and machine learning

  • Deep knowledge of the Linux networking stack and kernel internals.
  • Proven experience writing and optimizing code for network accelerators like XDP or VPP at scale.
  • Comprehensive understanding of OSI layers 1-4, including practical implementation experience.
  • Experience with high performance network accelerators like XDP (eXpress Data Path) and VPP (Vector Packet Processing).
  • Strong background in TLS/IPSEC/VXLAN implementation and optimization.
  • Proficiency in C, with a focus on high-performance, low-level programming.
  • Demonstrated ability to optimize network performance in large-scale, high-throughput environments.
  • Strong communication skills and ability to explain complex networking concepts to diverse audiences.
  • Successful completion of a background check.

  • Design and implement high-performance networking software for Linux environments.
  • Develop and maintain software for high-performance NICs (e.g., Mellanox/NVIDIA UFM).
  • Implement and optimize network protocols at OSI layers 1-4.
  • Design and implement secure networking solutions, including mTLS/IPSEC.
  • Collaborate with hardware supply teams to co-design software solutions that leverage advanced NIC features.
  • Troubleshoot complex networking issues in large-scale distributed environments.
  • Participate in code reviews and contribute to the team's technical standards.
  • Implement networking systems which provide isolation between multi-tenant workloads.

DockerSoftware DevelopmentC (Programming language)Communication SkillsAnalytical SkillsCollaboration

Posted 2024-10-19
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📍 USA

🧭 Full-Time

💸 $150,000 - $200,000 per year

🔍 AI and machine learning

  • Bachelor’s degree in Computer Science, Computer Engineering or a related field, or equivalent experience.
  • 3+ years of professional experience in software development, with experience in Go.
  • Strong understanding of the Go programming language and its ecosystem.
  • Strong problem-solving skills and ability to work in a collaborative environment.
  • Excellent communication skills and attention to detail.
  • Successful completion of a background check.

  • Design, develop, and maintain cloud infrastructure software, primarily in Go.
  • Collaborate with managers and other engineers to define and implement product requirements.
  • Troubleshoot and optimize existing code to improve performance and reliability.
  • Participate in code reviews and contribute to the team's technical standards.
  • Contribute to architectural discussions and decisions.
  • Stay up-to-date with industry trends and emerging technologies.

Software DevelopmentGoCommunication Skills

Posted 2024-10-16
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