Lead DPDK Optimization Engineer Job at AMD (Bangalore)

New

Principal Product Manager - Virtualization Architect

Designs, plans, develops, and manages a product or portfolio of virtualization p...

Location

United States , All

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree or equivalent in computer science, engineering or related field of study
10+ years of experience in product management, engineering, or a related technical role, with significant exposure to virtualization platforms and hypervisor technologies
Demonstrated hands-on or architectural familiarity with KVM, QEMU, libvirt, and the broader Linux virtualization stack
Deep technical knowledge of KVM hypervisor architecture, virtual machine lifecycle, vCPU scheduling, memory management (huge pages, NUMA), virtio device emulation, and hardware-assisted virtualization (Intel VT-x/AMD-V, IOMMU)
Strong understanding of virtualized networking (OVS, macvtap, SR-IOV, DPDK) and storage virtualization (virtio, iSCSI, NVMe-oF, Ceph/RBD) as they apply to KVM guest workloads
Familiarity with virtualization management and orchestration ecosystems - including libvirt APIs, oVirt, OpenStack Nova, and KubeVirt - and the ability to define product integration requirements across these layers
Extensive cross-functional leadership skills: ability to drive alignment across engineering, field, and partner organizations on complex, technically ambiguous virtualization platform initiatives
Strong financial and business acumen, including experience building business cases, defining performance metrics, and analyzing competitive positioning for infrastructure software products
Ability to provide product-specific technical training and enablement to sales, partners, and customer-facing teams on KVM and virtualization platform capabilities
Experience engaging with open-source ecosystems and upstream communities (Linux kernel, QEMU, libvirt, oVirt, OpenStack) as a product stakeholder

Job Responsibility

Independently leads end-to-end strategy and operational roadmap for one or more KVM-based virtualization products or a broader virtualization platform portfolio, spanning hypervisor core, management APIs, and guest ecosystem
Defines and drives the virtualization platform value proposition - including performance benchmarks, TCO advantages, and feature differentiation versus VMware, Hyper-V, and other competing hypervisor stacks - to support go-to-market and sales enablement
Synthesizes market and customer requirements (MRDs) by maintaining deep knowledge of enterprise virtualization use cases: VDI, server consolidation, cloud-native workloads, telco NFV/edge, and HPC virtualization
Translates KVM/QEMU/libvirt engineering capabilities into customer-facing requirements and product specifications, ensuring technical feasibility and roadmap alignment with upstream open-source communities (e.g., Linux kernel KVM subsystem, QEMU project)
Guides key stakeholders through all lifecycle phases - from hypervisor feature planning and kernel integration to product launch, sustaining engineering, and platform end-of-life planning
Collaborates across engineering, supply chain, and marketing to optimize product configuration, SKU design, pricing, and go-to-market strategies for virtualization platform offerings
Acts as a subject matter authority on KVM virtualization architecture, providing technical direction to internal teams, enabling sales and partner technical communities, and representing the product externally with customers and at industry forums

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Engineering Manager, Data Plane Systems

Crusoe is seeking a Senior Engineering Manager, Data Plane Systems to lead the t...

Location

United States , San Francisco

Salary:

237600.00 - 288000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

At least 10+ years in high-performance networking or systems engineering, with 5-7+ years specifically managing senior/staff-level talent
Deep knowledge of Linux networking internals, kernel architecture, and experience with XDP/eBPF, AF_XDP, and DPDK
Hands-on experience with DPU integration and migrating networking functions to hardware accelerators
A strong understanding of low-latency networking, performance tuning, and benchmarking
The ability to resolve complex technical challenges in a fast-moving, execution-heavy environment

Job Responsibility

Define the roadmap for SDN data plane systems and lead the integration of DPUs (such as NVIDIA BlueField) and hardware accelerators
Oversee the development of Linux kernel networking components, XDP/eBPF data paths, and DPDK-based fast paths while driving the migration of networking functions to hardware offload architectures
Lead performance benchmarking, regression prevention, and incident response, ensuring operational excellence within 3-6 month execution cycles
Mentor and grow a team of senior and staff-level systems engineers, setting technical standards and fostering a high-performance culture of accountability
Partner closely with control-plane teams (OVN/OVS) to optimize throughput and latency for multi-tenant GPU clusters

What we offer

Competitive compensation
Restricted Stock Units
Paid time off & paid holidays
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)

Fulltime

Systems Architect

AMD's Adaptive and Embedded Computing Group is expanding rapidly, aiming to be t...

Location

United States , San Jose

Salary:

229600.00 - 344400.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Strong understanding of x86 architecture
Background in technologies, technical standards, and system architectures of embedded applications and use cases for one or more of the following market segments: Networking, Security, Storage, Automotive, Robotics, Industrial, Aerospace/Defense
Hands-on development experience with CPUs/GPUs/FPGAs, middleware, system-level drivers (BSP, HAL, kernel), firmware/BIOS
Deep knowledge of Linux OS and systems programming
Experience with virtualization and hypervisors
Strong C/C++ development and scripting skills (Python)
Broad system-level experience spanning processors, platforms, BIOS, firmware, AI/ML, applications and frameworks like DPDK, SPDK
AI/Deep Learning experience is a significant plus
Ability to connect cross-domain technical dots and maintain a strong systems viewpoint
Customer-facing experience with a record of enabling successful product development

Job Responsibility

Research, define, and drive system level solutions for future products targeting one or more of the following market segments: Networking, Security, Storage, Automotive, Robotics, Industrial, Aerospace/Defense
Serve as the overall systems engineer for strategic customer accounts, often across multiple programs
Perform gap analysis and lead solutions architecting for pre-design win engagements to influence and secure wins
Translate customer needs into actionable technical requirements across domains and components
Provide hands on leadership throughout execution of customer development programs, solving complex technical problems and ensuring cross domain alignment
Ensure customer designs make optimal architectural choices to achieve best possible performance on AMD platforms
Build PoCs, demos, and use case optimizations
collaborate with ecosystem partners to deliver complete solutions
Define and develop reference designs to showcase solution value
Stay current on industry trends and feed insights into AMD's roadmap planning

Fulltime

Distinguished Technologist, Presales Engineering

Distinguished Technologist, Presales Engineering. This role has been designated ...

Location

United States , All, New Jersey

Salary:

203500.00 - 492500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

AI/ML Networking Expertise: Proven experience designing networks for AI clusters, with a deep understanding of lossless Ethernet, congestion control algorithms (PFC, ECN), and load-balancing techniques specific to AI traffic patterns
Edge & Distributed Compute Knowledge: Technical proficiency in MEC (Multi-access Edge Computing) and how it intersects with AI inferencing models and 5G/6G transport
Advanced Network Design: 15+ years of experience in Network Infrastructure Design, with at least 3-5 years focused on Hyperscale Datacenter or Cloud-Scale SP architectures
Modern Protocol Fluency: Working knowledge of and hands-on experience with JunOS, EOS, or IOS(certifications preferred), with specialized knowledge in EVPN-VXLAN, Segment Routing (SRv6), and telemetry-driven automation
Systems Thinking: Ability to bridge the gap between hardware (GPU/NIC/Switch) and software (AI Frameworks, Kubernetes, Virtualization) to provide a holistic "AI Fabric" vision
Thought Leadership: Significant experience providing both solution and commercial leadership, specifically in translating the "Cost of AI" into a value-based networking ROI for C-level stakeholders
Executive Presence: Professional with strong business acumen and the ability to build relationships with technical decision makers and C-level executives in client organizations
Sales Mastery: Experience preparing RFP/Tender response documents, including compliance, bill of materials, and solution documents to drive a successful response
Resource Management: Strong resource management skills, including how and when to effectively engage SMEs, specialists, and Engineering resources
Minimum Qualifications: 15+ years relevant industry experience in Cloud/Networking Infrastructure, routing, and switching domains

Job Responsibility

Lead AI Grid Strategy: Serve as the primary architect for "AI Grid" initiatives, helping Service Providers build interconnected, high-performance compute and networking fabrics designed specifically for distributed AI workloads
Architect Edge AI Solutions: Design and implement low-latency networking architectures to support Inferencing at the Edge, ensuring SPs can deliver AI services closer to the end-user with minimal jitter and maximum throughput
Optimize AI Infrastructure: Articulate the value of specialized AI/ML networking, including the orchestration of RDMA over Converged Ethernet (RoCE v2) and InfiniBand-to-Ethernet transitions within the Modern Datacenter
End-to-End AI Design: Responsible for the architecture of end-to-end Networking Infrastructure that supports both the "Front-end" (management/client) and "Back-end" (GPU-to-GPU) AI clusters
Strategic Advisory: Advise Sales Engineers and partners on the transition from traditional SP routing to AI-Optimized WAN and Fabric solutions, ensuring customers' business requirements for massive scale and predictive analytics are met
Ecosystem Integration: Develop deep partnerships with Silicon providers, AI software innovators, and Integrators to solve emerging "AI-scale" problems across multi-tenant environments
Hyperscale AI Networking: Architect and design Hyperscale solutions that specifically address "Job Completion Time" (JCT) metrics critical to AI training customers
Complex Deal Orchestration: In complex Networking Infrastructure deals, the Distinguished Technologist will be responsible for the end-to-end technical solution & customizations, orchestrating other Specialists and Technical resources including Systems Engineers as well as Product Management
Technical Validation: Excel in delivering Demos and Proof of Concept on solutions as well as clearly articulating the value proposition aligned to customer use cases
Stakeholder Engagement: Build relationships with senior resources and technical decision makers with key customers to ensure smooth knowledge transfer and hand-over to the delivery team

What we offer

Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing
Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division
Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good

Fulltime

Principal Software Engineer

Microsoft Advertising is seeking a Principal Software Engineer to join our Ads E...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Industry experience in advertising or search engine backend systems, such as large-scale ad ranking, real-time bidding (RTB), or relevance-serving infrastructure
Hands-on experience with real-time data streaming systems (Kafka, Flink, Spark Streaming), feature-store integration, and multi-region deployment for low-latency, globally distributed services
Familiarity with LLM inference optimization—model sharding, tensor/kv-cache parallelism, paged attention, continuous batching, quantization (AWQ/FP8), and hybrid CPU–GPU orchestration
Demonstrated success operating large-scale systems with SLA-based capacity forecasting, autoscaling, and performance telemetry
proven leadership in cross-functional architecture initiatives and technical mentorship

Job Responsibility

Design and lead the development of large-scale, distributed online serving systems—including GPU-accelerated and CPU-based ranking/inference pipelines—to process millions of ad requests per second with ultra-low latency, high throughput, and solid reliability
Architect and optimize end-to-end inference infrastructure, including model serving, batching/streaming, caching, scheduling, and resource orchestration across heterogeneous hardware (GPU, CPU, and memory tiers)
Profile and optimize performance across the full stack—from CUDA kernels and GPU pipelines to CPU threads and OS-level scheduling—identifying bottlenecks, tuning latency tails, and improving cost efficiency through advanced profiling and instrumentation
Own live-site reliability as a DRI: design telemetry, alerting, and fault-tolerance mechanisms
drive rapid diagnosis and mitigation of performance regressions or outages in globally distributed systems
Collaborate and mentor across teams—driving architecture reviews, enforcing engineering excellence, promoting system-level optimization practices, and mentoring others in deep debugging, profiling, and performance engineering

Fulltime

Ai/ml Solutions Architect

This highly visible role directly impacts customer success and the overall growt...

Location

United States , Austin; San Jose

Salary:

163200.00 - 244800.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Strong understanding of x86 architecture and GPU architecture
Strong expertise in AI/ML, the various frameworks (e.g. ONNX-RT, PyTorch, Tensorflow ), whole software stacks, various open ML models (e.g. Llama, Qwen), optimized inferencing using CPU, GPU and accelerators
Background in technologies, technical standards, and system architectures of embedded applications and use cases for one or more of the following market segments: Networking, Security, Storage, Automotive, Robotics, Industrial, Aerospace/Defense
Hands‑on development experience with CPUs/GPUs/FPGAs, middleware, system‑level drivers (BSP, HAL, kernel), firmware/BIOS
Deep knowledge of Linux OS and systems programming
Experience with virtualization and hypervisors
Strong C/C++ development and scripting skills (Python)
Broad system‑level experience spanning processors, platforms, BIOS, firmware, AI/ML, applications and frameworks like DPDK, SPDK
AI/Deep Learning experience is mandatory
Ability to connect cross‑domain technical dots and maintain a strong systems viewpoint

Job Responsibility

Research, define, and drive AMD CPU/GPU/NPU based AI/ML solutions targeting one or more of the following market segments: Networking, Security, Storage, Automotive, Robotics, Industrial, Aerospace/Defense
Develop high performance and efficient Edge AI solutions
Benchmark, analyze and optimize performance results using standard AI frameworks, open ML models and custom models
Serve as an AI and performance expert and/or solutions architect for strategic customer engagements
Perform gap analysis and lead solutions architecting for pre–design‑win engagements to influence and secure wins
Translate customer needs into actionable technical requirements across domains and components
Provide hands‑on leadership throughout execution of customer development programs, solving complex technical problems and ensuring cross‑domain alignment
Ensure customer designs make optimal architectural choices to achieve best‑possible performance on AMD platforms
Build PoCs, demos, and use‑case optimizations
collaborate with ecosystem partners to deliver complete solutions

Fulltime

Staff Software Engineer, SDN Networking

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’r...

Location

United States , San Francisco; Sunnyvale

Salary:

185000.00 - 224000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

6+ years of proven experience in building and operating high-performance networking systems in a production environment
Strong proficiency in system programming languages such as C, C++, and/or Rust
Deep expertise in Linux Systems Internals, including kernel architecture, memory management, and device drivers
In-depth knowledge of network programming principles and packet processing pipelines
Hands-on experience with kernel bypass technologies like XDP/EBPF, AF_XDP, and DPDK
Proven understanding of TCP/IP and networking accelerators such as Mellanox/Nvidia SmartNICs, DPU Bluefield3, and Intel IPU
Familiarity with technologies like SR-IOV, vDPA, and scalable functions
Strong background in kernel or embedded development, with a focus on the Linux kernel
Experience with Open vSwitch, Openflow, and Open Virtual Networking technologies
Proven ability to effectively communicate and collaborate with both technical and non-technical stakeholders

Job Responsibility

Develop and execute the roadmap for Crusoe Cloud's Software Defined Networking strategy
Lead the engineering team through all phases of the software development lifecycle, including architecture decisions, design processes, design reviews, code reviews, and implementation tasks
Collaborate closely with the network infrastructure organization to develop and deploy industry-leading networking solutions
Lead the design, development, and support of Linux Kernel and driver components, focusing on system architecture and optimization
Drive the adoption and integration of kernel bypass technologies such as XDP/EBPF, AF_XDP, and DPDK
Deeply understand and leverage network accelerators such as Mellanox/Nvidia SmartNICs (ConnectX6/7), DPU Bluefield3, and Intel IPU
Collaborate with cross-functional teams across the organization to ensure successful project delivery and operational excellence

What we offer

Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

New

Operator V - Molding (3rd Shift)

This is where my hands make life-sustaining products As a key member of the Mol...

Location

United States , Cleveland

Salary:

19.38 USD / Hour

Baxter

Expiration Date

Until further notice

Requirements

High school diploma required
Additional technical experience, training, or education a plus
Basic knowledge of quality and safety procedures and regulations a plus
Mechanical proficiency required
Familiarity with Allen Bradley controls a plus
Capability to comprehend and interpret computer control documents and specifications
Computer proficient and ability to use software applications
Ability to read and understand specifications and procedures
Able to complete documentation legibly
Trained as forklift driver preferred

Job Responsibility

Operate assembly equipment in Molding department
Set-up machine parameters per operating procedures
Perform line clearance, quality checks and required mechanical adjustments to machine
Responsible for raw materials, printing and packaging materials are ready for production
Challenge vision system, USON Tester, Welders, and Silicon system per operating procedures
Use blueprints, specifications, Bill of Materials, and Standard Operating Procedures to ensure product or process acceptability
Report abnormalities and corrective action to supervision
Stack-off master cartons and move finished goods with forklift
Troubleshoot equipment and make required adjustments/minor equipment repairs as needed
Follow Good Documentation Practices

What we offer

Medical, Dental and Vision coverage
160 hours of Paid Time Off and Paid Holidays
401K match
Employee Stock Purchase Program
Paid Parental Leave
Tuition Reimbursement

Fulltime

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Lead DPDK Optimization Engineer

Job Description

Job Responsibility

Requirements

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