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Mojo Programmer Jobs in California (NOW HIRING)

Eridu AI

Network Simulation Engineer

Saratoga, CA · On-site

INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (the world's leading micro-LED company). The company is in execution mode and has a world-class engineering team with ...

Eridu AI

Senior Hardware Engineer

Saratoga, CA · On-site

$210K - $265K/yr

INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (the world's leading micro-LED company). The company is in execution mode and has a world-class engineering team with ...

Eridu Corporation

Senior Hardware Engineer

Saratoga, CA · On-site

$210 - $265/hr

... Mojo Vision. Position Overview Eridu is a Silicon Valley-based hardware startup pioneering ... Bachelors in Electrical Engineering or Computer Engineering required, Master's preferred * Minimum ...

New

Eridu AI

RTL Engineer, Networking ASIC

Saratoga, CA · On-site

$210K - $275K/yr

INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (the world's leading micro-LED company). The company is in execution mode and has a world-class engineering team with ...

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Mojo Programmer information

What is a Mojo programmer?

Mojo Programmers are software developers who specialize in using the Mojo programming language, a high-performance language designed for machine learning, AI, and systems programming. Mojo combines the usability of Python with the performance of lower-level languages like C and C++. Mojo Programmers typically build, optimize, and maintain applications that require speed and efficient computation, often in AI or data science environments. They may also contribute to open-source projects and help integrate Mojo into existing Python-based workflows.

What are the key skills and qualifications needed to thrive as a Mojo programmer, and why are they important?

To thrive as a Mojo Programmer, you need strong programming knowledge in Python and systems programming, along with expertise in numerical computing and performance optimization. Familiarity with the Mojo programming language, compiler toolchains, and related frameworks is typically required, and experience with AI/ML libraries (like NumPy or PyTorch) is beneficial. Analytical thinking, collaborative problem-solving, and adaptability to rapidly evolving technologies are standout soft skills in this role. These competencies are vital for building high-performance, scalable applications and contributing effectively to cutting-edge software projects.

How does a Mojo programmer typically collaborate with data scientists and other developers on machine learning projects?

Mojo Programmers often work closely with data scientists to optimize machine learning workflows by translating high-level models into efficient, production-ready code. Collaboration usually involves regular meetings to understand model requirements, joint debugging sessions, and code reviews to ensure performance and scalability. Additionally, Mojo Programmers may work with other developers to integrate code into larger systems, ensuring seamless deployment and compatibility. Open communication and familiarity with cross-functional tools are important for success in this collaborative environment.

What is the difference between Mojo Programmer vs Java Developer?

AspectMojo ProgrammerJava Developer
Required CredentialsProficiency in Mojo language, scripting, and automation toolsBachelor's in Computer Science or related, Java certification often preferred
Work EnvironmentTypically in automation, scripting, and DevOps teamsSoftware development teams, enterprise applications
Industry UsageUsed in automation, testing, and scripting within tech and manufacturingWidely used in enterprise software, mobile apps, and web development

Mojo Programmers focus on scripting and automation using Mojo language, often in DevOps environments, while Java Developers build applications across various industries. Both roles require programming skills but differ in language expertise and application focus.

What are popular job titles related to Mojo Programmer jobs in California?

For Mojo Programmer jobs in California, the most frequently searched job titles are:

What job categories do people searching Mojo Programmer jobs in California look for?

The top searched job categories for Mojo Programmer jobs in California are:

What cities in California are hiring for Mojo Programmer jobs?

Cities in California with the most Mojo Programmer job openings:

Mojo Programmer jobs near you
Infographic showing various Mojo Programmer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, 7% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Network Simulation Engineer

Eridu AI

Saratoga, CA • On-site

Full-time

Re-posted 20 days ago

Job description

About Eridu
Eridu is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate AI data centers to deliver Faster AI. Today's AI performance is frequently limited by communication bottlenecks. Eridu introduces multiple industry-first innovations across silicon, packaging, software, and systems to deliver an order of magnitude improvement in performance and unlock greater GPU utilization to speed training job completion times and tokens-per-second for more profitable inference. We do this while simultaneously reducing capital and power costs and improving reliability.
The company's solutions and value proposition have been widely validated by leading hyperscalers.
Eridu has raised over $200M to date including its most recent, oversubscribed Series A round. The company is led by a veteran team of Silicon Valley executives who have delivered multiple billion dollar product lines and led multiple companies to billion dollar exits, including serial entrepreneur Drew Perkins, co-founder of Infinera (NASDAQ: INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (the world's leading micro-LED company). The company is in execution mode and has a world-class engineering team with decades of experience in state-of-the-art silicon, packaging, optics, software, and systems. Eridu is working with best-in-class supply chain partners including silicon, packaging and systems.
Visit our website eridu.ai to learn more.
Position Overview
We are seeking a highly motivated Network Simulation Engineer to lead the simulation and analysis of AI communication workloads (e.g. collective communications) across various data center network topologies. In this role, you will apply network simulation tools to model real-world AI applications-including LLMs and DLRMs-to inform architectural decisions across Eridu's product development lifecycle and to showcase our value to prospective customers and investors.
You will collaborate cross-functionally with customers, ASIC designers, and simulation tool providers to optimize performance, influence design, and deliver transformative AI networking solutions.
Responsibilities
  • Model AI Workloads: Simulate communication patterns of distributed AI workloads (e.g., LLMs, DLRMs) across diverse network topologies to analyze performance and scalability.
  • Drive Architecture Optimization: Work with customers to evaluate their AI workloads and provide recommendations for topology design, protocol tuning, and system architecture.
  • Influence ASIC Design: Collaborate with the internal ASIC and architecture teams by providing simulation-based insights that shape chip design for optimized AI traffic flows.
  • Tool Development & Partnership: Interface with simulation tool providers (who have optimized versions of NS-3, ASTRA-sim, etc.) to customize, tune, and enhance modeling frameworks for Eridu's specific requirements and to operate these tools to run simulations.
  • Documentation & Communication: Create clear and compelling reports, documentation, and presentations to communicate insights to technical and non-technical stakeholders.
Qualifications
  • MSc or PhD in Computer Science, Electrical Engineering, or a related field with some specialization in AI/ML communications or equivalent hands-on experience
  • Strong experience with network simulation tools such as NS3, OMNeT++, or custom-built simulators.
  • Familiarity with distributed training frameworks (e.g., PyTorch, TensorFlow), collective communication libraries (e.g., NCCL, RCCL), and GPU programming (CUDA or ROCm).
  • Deep understanding of frontier model architectures, parallelism approaches and operational functionality
  • Deep understanding of Ethernet, InfiniBand, and high-performance data center networking technologies.
  • Solid grasp of AI system architecture, including compute, memory, and interconnect bottlenecks in large-scale training/inference clusters.
  • Strong programming skills in C++ and Python.
  • Clear and confident communication skills, both written and verbal.
  • 2+ years of relevant experience preferred; exceptional early-career candidates will also be considered.

Why Join Us?
At Eridu, you'll have the opportunity to shape the future of AI infrastructure, working with a world-class team on groundbreaking technology that pushes the boundaries of AI performance. Your contributions will directly impact the next generation of AI infrastructure solutions, transforming the performance of AI data centers.
The starting base salary for the selected candidate will be established based on their relevant skills, experience, qualifications, work location, market trends, and the compensation of employees in comparable roles.
Notice to Recruiting Agencies
Eridu does not accept unsolicited resumes or candidate profiles from staffing agencies or third-party recruiters. Any candidate submitted to Eridu without prior written authorization from our recruiting team will be considered unsolicited and will become the property of Eridu. Eridu reserves the right to pursue and hire such candidates without any obligation to pay fees. Recruiting agencies are expressly instructed not to contact hiring managers, employees, or executives regarding open positions.

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