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Flexible Dpdk Jobs (NOW HIRING)

Microsoft

Senior Software Engineer

Mountain View, CA · On-site

$160K - $261K/yr

We support flexible work arrangements, including remote options, so you can do your best work ... Knowledge of L7 proxies (e.g., NGINX, Envoy, HAProxy), L3/L4 firewalls and DPDK. * Familiarity with ...

Circana

Principal Engineer| Hybrid: Chicago, IL

... flexible and accommodating to our work and personal lives. We're a global company dedicated to ... DPDK). * In-Database ML Framework Design: Architect and implement a native, highly performant, zero ...

Circana

Staff Engineer| Hybrid: Chicago, IL

... flexible and accommodating to our work and personal lives. We're a global company dedicated to ... DPDK). * In-Database ML Framework Design: Architect and implement a native, highly performant, zero ...

Versa Networks, Inc.

$200 - $310/hr

Preferable to have prior experience working with DPDK and multicore systems. * Thorough ... Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility ...

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Flexible Dpdk information

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$10

$53

$72

How much do flexible dpdk jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for flexible dpdk in the United States is $53.38, according to ZipRecruiter salary data. Most workers in this role earn between $47.12 and $60.58 per hour, depending on experience, location, and employer.

What is a flexible dpdk professional?

Flexible DPDK professionals are experts who work with the Data Plane Development Kit (DPDK), an open-source set of libraries and drivers for fast packet processing in networking applications. They specialize in designing, implementing, and optimizing high-performance network functions using DPDK across various hardware and software platforms. Their flexibility refers to their ability to adapt DPDK solutions to different networking environments, requirements, and use cases, such as data centers, telecom infrastructures, and cloud services. These professionals often collaborate closely with software engineers and network architects to ensure optimal data throughput and minimal latency.

What are some common challenges faced when working with DPDK in a flexible networking environment?

Professionals working with DPDK in flexible networking roles often encounter challenges related to optimizing packet processing performance while accommodating dynamic network demands. Balancing low-latency requirements with system scalability, integrating DPDK with various hardware and software stacks, and troubleshooting issues across different operating systems are typical hurdles. Additionally, collaborating with cross-functional teams to refine network functions and ensuring compatibility with evolving network protocols can require ongoing learning and adaptation. Effective communication and problem-solving skills are key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as a DPDK (Data Plane Development Kit) developer, and why are they important?

To thrive as a DPDK Developer, you need a solid background in computer science, strong C/C++ programming skills, and experience with networking protocols. Familiarity with DPDK libraries, Linux operating systems, and performance profiling tools is typically required, and certifications in networking or Linux can be beneficial. Strong problem-solving abilities, attention to detail, and effective teamwork are the soft skills that help professionals excel in this field. These competencies are crucial for developing high-performance, scalable network applications that meet demanding throughput and latency requirements.

What is the difference between Flexible Dpdk vs Network Packet Processor?

AspectFlexible DpdkNetwork Packet Processor
Required CredentialsLinux, C programming, networking knowledgeEmbedded systems, networking certifications often preferred
Work EnvironmentData centers, telecom, software developmentNetwork hardware, embedded systems, telecom equipment
Industry UsageSoftware-defined networking, high-performance packet processingNetwork hardware devices, routers, switches

Flexible Dpdk and Network Packet Processors both handle high-speed packet processing, but Flexible Dpdk is a software library used mainly in software-defined environments, while Network Packet Processors are hardware devices designed for dedicated packet handling. Understanding their differences helps in choosing the right role for network infrastructure projects.

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Flexible Dpdk jobs near you
Infographic showing various Flexible Dpdk job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $111,026 per year, or $53.4 per hour.

Senior Site Reliability Engineer - SDN

Lambda

San Francisco, CA • On-site

$240K - $312K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You'll Do
  • Operate and scale Lambda's multi-tenant cloud networking platform and SDN infrastructure
  • Operate and improve Kubernetes-based control plane services and dataplane software running on SmartNICs
  • Develop tooling and automation to reduce operational toil and improve reliability
  • Collaborate with software, platform, and networking teams to improve service reliability and deployment workflows
  • Deploy and maintain network monitoring, observability, and management tools
  • Improve deployment safety through CI/CD pipelines, GitOps workflows, testing, and progressive rollouts
  • Drive operational excellence through observability, incident management, capacity planning, postmortems, and participation in the on-call rotation

You
  • Have 5+ years of experience in Site Reliability Engineering, Production Engineering, or a similar role
  • Have experience operating and supporting large-scale distributed systems in production
  • Have experience with Kubernetes application lifecycle management, upgrades, troubleshooting, and production operations
  • Have experience participating in on-call rotations and incident response
  • Have strong troubleshooting skills across Linux systems, Kubernetes, distributed systems, and networking
  • Have experience with observability platforms, monitoring, alerting, and metrics
  • Are comfortable working on the Linux command line and have a solid understanding of the Linux networking stack
  • Have experience with multi-datacenter and hybrid cloud environments
  • Have experience automating infrastructure and operational workflows using Python, Ansible, or similar tools
  • Have experience designing and operating CI/CD and GitOps deployment workflows

Nice To Have
  • Experience building and operating Software Defined Networks (SDN), including OpenStack Neutron, OVN, and OVS
  • Experience operating production-scale SDNs in a cloud environment (e.g., infrastructure powering AWS VPC-like networking services)
  • Software development experience in Go and/or Python (C is a plus)
  • Experience automating infrastructure and network configuration using Kubernetes, Helm, Terraform, and Ansible
  • Deep understanding of the Linux networking stack and its interaction with network virtualization technologies, SR-IOV, and DPDK
  • Understanding of the SDN ecosystem and modern cloud networking architectures
  • Experience diagnosing complex production issues across infrastructure, networking, and application layers

Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
  • Founded in 2012, with 500+ employees, and growing fast
  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Our values are publicly available: https://lambda.ai/careers
  • We offer generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use

Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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