Artificial Intelligence jobs in United States
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AI Infrastructure Network Operations Engineer
Job summary
A leading AI technology firm in Toronto is seeking an experienced Network Engineer to design and manage network infrastructure. The successful candidate will work with ISPs, configure firewalls, and debug complex networking issues. Candidates should have 5-7 years of experience and certifications in network engineering. This role offers an exciting opportunity to be part of a groundbreaking team focused on AI advancements.
Qualifications
- 5-7 years of experience in network engineering.
- Proven expertise in Firewalls, IPsec tunnels, MACsec.
- Strong python skills are a plus.
Responsibilities
- Establish and troubleshoot network connections with ISPs.
- Manage and configure firewalls for security.
- Design IPsec tunnels and MACsec for secure connections.
Skills
Education
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
We are seeking an experienced Network Engineer to work with our team to design, implement, and manage network infrastructure. The successful candidate will work closely with ISPs to establish and troubleshoot network connections, configure firewalls, and debug complex issues. Expertise in Firewall, IPsec tunnels, MACsec, BGP, AWS Transit Gateway, and AWS Direct Connect is required.
- Work with ISPs to establish and troubleshoot network connections, including configuring routers, switches, and firewalls.
- Configure and manage firewalls to ensure network security and troubleshoot issues related to network connectivity, performance, and security.
- Design, implement, and manage IPsec tunnels, MACsec to ensure secure and reliable network connections.
- Work with AWS Transit Gateway and AWS Direct Connect to establish secure and reliable connections between on-premises networks and AWS.
- Schedule and manage maintenance window. Apply best practices for execution and documentation.
- Create detailed documentation for design, implementation, method of procedures, and network incidents.
- Resolve network incidents quicky and follow up with root cause and create postmortem documentation.
- Follow up with ISPs, AWS, firewall vendors and network equipment vendors on technical issues in a timely manner.
- Collaborate with cross-functional teams to ensure network infrastructure meets security and business requirements.
- Being on-call for emergency response, troubleshooting, and maintenance to ensure continuous operation and minimize downtime.
- 5-7 years of experience in network engineering, with a focus on designing, implementing, and managing network infrastructure.
- Experience with firewall configuration and management, including troubleshooting complex issues.
- Expertise in Firewalls, IPsec tunnels, MACsec, AWS Transit Gateway, and AWS Direct Connect.
- Strong knowledge of BGP routing protocol.
- PCNSE or CCIE certification is preferred. JNCIE or JNCIE-SEC also acceptable.
- Strong python skills a plus.
- Strong debugging skills and ability to work in a fast-paced environment.
People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2025.
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.