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Container Manager Jobs in California (NOW HIRING)

RelaxHR

Sr Software Engineer

Beverly Hills, CA

$10K - $25K/yr

Experience in Azure DevOps with container management and deployment strategy. Experience in various design and architectural patterns Knowledge, Skills and Abilities: c# - c# .Net - .net sql - sql ...

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Container Manager information

What skills and qualifications are needed to be a container manager?

To thrive as a Container Manager, you need strong logistics management skills, familiarity with port or warehouse operations, and typically a background in supply chain management or a related field. Proficiency in inventory management systems, container tracking software, and possibly certifications like the International Maritime Dangerous Goods (IMDG) Code are valuable. Excellent organizational skills, attention to detail, and effective communication are crucial soft skills for coordinating teams and ensuring efficient operations. These competencies are essential to ensure the safe, timely, and cost-effective movement and storage of containers within the supply chain.

What challenges does a container manager face when overseeing container logistics?

Container Managers often deal with challenges such as coordinating schedules for container arrivals and departures, ensuring compliance with safety and customs regulations, and managing unexpected delays due to weather or port congestion. Additionally, they must maintain clear communication with shipping companies, warehouse staff, and transportation providers to optimize efficiency. Adapting quickly to dynamic conditions and resolving logistical issues are key aspects of the role that require strong problem-solving and organizational skills.

What is a container manager?

Container Managers are professionals responsible for overseeing the handling, storage, and movement of shipping containers within ports, warehouses, or logistics facilities. They coordinate container logistics to ensure efficient use of space, proper tracking, and timely delivery or dispatch. Their role often involves supervising teams, maintaining safety standards, and optimizing workflow processes related to container management. Container Managers also use specialized software to monitor container status and manage inventory. This position is vital for smooth operations in supply chain and transportation industries.

What are popular job titles related to Container Manager jobs in California?

For Container Manager jobs in California, the most frequently searched job titles are:

What job categories do people searching Container Manager jobs in California look for?

The top searched job categories for Container Manager jobs in California are:

What cities in California are hiring for Container Manager jobs?

Cities in California with the most Container Manager job openings:

Container Manager jobs near you
Infographic showing various Container Manager job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Senior Software Engineer - NIM Factory Container and Cloud Infrastructure

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 8 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a Senior Software Engineer focused on container and cloud infrastructure. You will help design and implement our core container strategy for NVIDIA Inference Microservices (NIMs) and our hosted services. You will build enterprise-grade software and tooling for container build, packaging, and deployment. You will help improve reliability, performance, and scale across thousands of GPUs. There is much more to build ahead, including support for disaggregated LLM inference and other emerging deployment patterns.

What you'll be doing:

  • Design, build, and harden containers for NIM runtimes, inference backends; enable reproducible, multi-arch, CUDA-optimized builds.

  • Develop Python tooling and services for build orchestration, CI/CD integrations, Helm/Operator automation, and test harnesses; enforce quality with typing, linting, and unit/integration tests.

  • Help design and evolve Kubernetes deployment patterns for NIMs, including GPU scheduling, autoscaling, and multi-cluster rollouts.

  • Optimize container performance: layer layout, startup time, build caching, runtime memory/IO, network, and GPU utilization; instrument with metrics and tracing.

  • Evolve the base image strategy, dependency management, and artifact/registry topology.

  • Collaborate across research, backend, SRE, and product teams to ensure day-0 availability of new models.

  • Mentor teammates; set high engineering standards for container quality, security, and operability.

What we need to see:

  • A degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience.

  • 6+ years building production software with a strong focus on containers and Kubernetes.

  • Strong Python skills building production-grade tooling/services

  • Experience with Python SDKs and clients for Kubernetes and cloud services

  • Expert knowledge of Docker/BuildKit, containerd/OCI, image layering, multi-stage builds, and registry workflows.

  • Deep experience operating workloads on Kubernetes.

  • Hands-on experience building and running GPU workloads in k8s, including NVIDIA device plugin, MIG, CUDA drivers/runtime, and resource isolation.

  • Excellent collaboration and communication skills; ability to influence cross-functional design.

Ways to stand out from the crowd:

  • Expertise with Helm chart design systems, Operators, and platform APIs serving many teams.

  • Experience with OpenAI API, Hugging Face API as well as understanding difference inference backends (vLLM, SGLang, TRT-LLM)

  • Background in benchmarking and optimizing inference container performance and startup latency at scale.

  • Prior experience designing multi-tenant, multi-cluster, or edge/air-gapped container delivery.

  • Contributions to open-source container, k8s, or GPU ecosystems.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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