Lead DPDK Optimization Engineer Job at AMD (Bangalore)

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

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

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

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

New

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

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

New

Java Bigdata Developer

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

3-5 years of relevant experience
Experience in programming/debugging used in business applications
Working knowledge of industry practice and standards
Comprehensive knowledge of specific business area for application development
Working knowledge of program languages
Consistently demonstrates clear and concise written and verbal communication
Bachelor's degree/University degree or equivalent experience
Good knowledge on JavaSpark
Experience in Bigdata and Hive
Good understanding and hands on in AI tools like co-pilot etc.

Job Responsibility

Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements
Identify and analyze issues, make recommendations, and implement solutions
Utilize knowledge of business processes, system processes, and industry standards to solve complex issues
Analyze information and make evaluative judgements to recommend solutions and improvements
Conduct testing and debugging, utilize script tools, and write basic code for design specifications
Assess applicability of similar experiences and evaluate options under circumstances not covered by procedures
Develop working knowledge of Citi’s information systems, procedures, standards, client server application development, network operations, database administration, systems administration, data center operations, and PC-based applications
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Fulltime

New

Senior Mixed Methods User Researcher

The Firefox User Research team champions human-centered exploration of complex p...

Location

Canada

Salary:

105000.00 - 130000.00 CAD / Year

Mozilla

Expiration Date

Until further notice

Requirements

4-6 years of UX research work experience in the consumer technology industry
Significant experience leading both evaluative and generative research across multiple phases of the product development lifecycle
Demonstrated success operating in fast-paced, agile environments, adapting to shifting priorities while maintaining research impact
Experience applying a diverse set of qualitative methods (e.g., interviews, concept testing, usability studies) and practical experience with quantitative approaches (e.g., survey design, data analysis)
Strong judgment in evaluating research priorities and making trade-off recommendations across multiple concurrent workstreams
Deep, current knowledge of AI tools used in research workflows, with the expertise to evaluate their outputs critically and apply them responsibly and effectively
Collaborative communicator, skilled at building partnerships with cross-functional teams and driving alignment through evidence-based insights
Experienced in supporting iterative, user-centered product development, ensuring research continuously informs design and strategy
Commitment to our values: Welcoming differences
Being relationship-minded

Job Responsibility

Lead mixed method user research studies across the mobile and privacy product spaces, developing research materials, executing research, and turning data into actionable recommendations
Facilitate a user-centered design and product development process that advocates for users' needs and perspectives
Leverage AI tools thoughtfully across the research workflow while applying critical review to ensure outputs are accurate
contribute to the development of standards for responsible AI use in research
Partner cross-functionally with product, design, engineering, data science, and marketing to identify high-impact research opportunities and align insights to business priorities
Understand and incorporate complex and nuanced technical and business requirements into research
Collaborate with Mixed Methods and Quantitative User Researchers

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Select Country

Lead DPDK Optimization Engineer

Job Description

Job Responsibility

Requirements

Nice to have

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