About the team 

Great user experiences come from people who have the vision to see the big picture while still maintaining an incredible attention to detail. The User Experience team at Roku comprises UX designers, researchers, and writers who work collaboratively with our world-class Product and Engineering teams to meet customer needs for a Roku experience that delivers simplicity and delight. The UX Research sub-team is a tightly knit horizontal resource within the larger UX team at Roku. 

About the role 

This role is dedicated to Roku TV (RTV). You’ll join the team shaping the vision and execution of our TV products and features, ensuring they continue to set the global benchmark for performance and ease of use. 

Roku is hiring an experienced UX Researcher to lead high-impact research across our full TV portfolio. In this role, you’ll deeply understand how people interact with Roku devices and ensure a cohesive, simple experience across partner brands and device tiers. You’ll operate at the crucial intersection of physical hardware and the Roku OS. Your insights will uncover user needs and pain points and directly drive the evolution of new TV experiences - from out-of-the-box setup and hardware performance to picture quality optimization and the future of TV hardware - making a tangible, visible impact across Roku’s most widely used experiences. 

You’ll partner closely with Product Management, Design, and Engineering to align research with technical roadmaps and business priorities, turning insights into decisions that ship. Together, you’ll ensure Roku delivers a simple, delightful entertainment experience that is grounded in user needs and felt across every TV we build.  

For California Only - The estimated annual base salary for this position is between $140,000 - $150,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What you'll be doing 

• Develop, plan, and execute research initiatives in collaboration with UX Research managers, other UX researchers, product managers, leaders at Roku, UX and visual designers, and others 
• Utilize your research insights to influence the selection, definition, and design of product offerings that maximize engagement, leading to high customer retention 
• Collect and analyze user behavior through both generative and evaluative methodologies 
• Effectively present research insights to diverse stakeholder audiences through written reports and presentations 
• Work closely with multiple key stakeholders to identify the problems and business goals that your research will address 
• Be a deeply embedded member of product teams, while also being a strong collaborator on the UX research team 

We’re excited if you have 

• 2 to 3 years' experience as a UX Researcher in industry settings (not including academic experience)
• Experience building with AI (Claude Code, CoPilot, or similar)
• Proven skill with a broad methodological toolkit, including interviews, usability testing, surveys, field studies, diary studies, and quantitative analysis 
• Confidence in selecting the most appropriate methods for a given problem or question 
• Experience collaborating with teams of business leaders, designers, researchers, and product managers throughout the planning and development process 
• Experience gathering and understanding business strategy, and finding the right balance between user and business needs 
• Excellent communication, facilitation, presentation, interpersonal, and analytical skills 
• Experience with mixed methods research 
• Strong project management skills with the ability to define, plan, and lead projects forward 
• Experience in the entertainment field, working with teams producing TV/Movies, is a plus 
• An ability to operate with appropriate guidance: You have experience contributing to and, when appropriate, leading parts of the research approach for whole products, including multi-phase planning; building relationships with stakeholders and including them in the process; and proactively suggesting research needs/methods in partnership with your manager and cross-functional teammates 
• Comfortable with accepting guidance from UX Research managers or senior-level researchers to optimize the research approach, as well as from non-research stakeholders 
• A passion for researching people 

#LI-SB5

We're looking for a Senior Manager, Product Lead to lead, grow, and empower a team of product managers building for our AI-powered litigation platform. This role sits at the intersection of product strategy and people leadership and is a great fit for a product leader who cares deeply about craft, is comfortable with technical ambiguity, and has a track record of shipping exceptional enterprise AI products. 

This role will be focused on Everlaw’s Core Discovery product category, which enables legal professionals to quickly understand and act on data at scale with AI-assisted workflows built on principled design, rigorous controls, and deep workflow expertise. In this role, you will act as the voice of the customer within the organization, ensuring products meet customer needs and expectations, and will engage directly with customers and industry stakeholders to gather insights and validate product concepts.

At Everlaw, our mission is to promote justice by illuminating truth. Our company culture is open and vibrant and we’re committed to the professional growth of our team members, offering an annual learning and development stipend and regular check-ins with managers regarding career goals. If you’re looking for a place that values passion, integrity, thinking big, and a desire to learn, we’d love to hear from you! 

We do not believe in the ‘perfect’ candidate. If you’re passionate about the role and feel you can contribute meaningfully, we encourage you to apply. This is a full-time position based in our Oakland, California office, with a hybrid schedule: in-office Monday, Wednesday, and Thursday.

How we're different

• Built for the AI Era: Everlaw has been committed to AI-assisted workflows for over a decade with tools like predictive coding and document clustering. We’ve continued this leadership into the generative AI era, with best-in-class features like Deep Dive and Coding Suggestions. We don’t layer AI onto our product - we architect intelligent, trustworthy systems grounded in enduring trust that deliver value to users every day. 
• Culture and Growth at the Forefront: With a generous L&D budget, clearly codified values, and a commitment to long-term thinking, integrity and discipline, we create an environment where careers grow with intention and purpose.
• Thoughtful Onboarding: Our structured onboarding program ensures you understand our product, customers, and market and quickly integrates you into the team, setting you up to contribute thoughtfully from day one. 
• Impact That Matters: Through Everlaw for Good, we offer our technology free or at heavily discounted rates to journalists, nonprofits, and pro bono attorneys to advance equitable access to justice beyond the boundaries of business.

In your role, you'll...

• Lead Product Strategy, Vision & Execution: Work with your team to define and own a multi-year strategy and roadmap aligned with company priorities and customer needs. 
• Build a First-Class AI Product Experience: Guide PMs in ensuring our AI feature set is best in class for the dynamically evolving legal AI space. You’ll develop a deep understanding of the market, competitive landscape, and user behavior to inform prioritization decisions. 
• Develop Product Talent: Lead and elevate a team of 3–6 product managers, fostering a culture of sharp analytical thinking and product excellence. Drive their success through clear feedback, mentorship and bespoke growth plans, while employing a consistent strategy for long-term career development.
• Elevate Product Craft: Model disciplined, critical use of AI across the full product development lifecycle, and develop AI-augmented ways of working with clear norms around when and how to soundly incorporate AI-generated output into the final work product. 
• Scale and Drive Team Accountability: Grow the team through intentional hiring and operational refinement, while setting clear expectations and upholding our values and behavioral standards. Drive high performance and accountability, connecting work to the company vision and ensuring every PM is empowered to deliver measurable impact. 
• Drive Cross-Functional Excellence: Partner with the design team to ensure user experience is a first-class citizen. Shepherd product development and enable go-to-market teams so they're armed to tell the right story and support customers with confidence. Identify R&D-wide process gaps and lead execution of improvements.
• Model People Leadership: Lead, motivate and influence others across your team and the business. You’ll serve as a senior PM stakeholder in leadership forums, business reviews, and executive presentations. You will drive cross-functional collaboration, and foster an inclusive environment where diverse perspectives are valued.

About you

Required Experience 

• 7+ years of product management experience 
• 3+ years managing teams of product managers
• Proven track record of defining product strategy and connecting it to measurable business outcomes
• Strong analytical skills and the ability to leverage data to uncover underlying business drivers and translate raw insights into strategic, timely product decisions
• Experience shipping products at scale in a fast-paced environment for sophisticated users and complex workflows (enterprise, B2B SaaS, data-heavy, or regulated domains)
• Experience building or managing ML or LLM-powered products, with a nuanced view of where AI genuinely compounds value for customers 
• Excellent people and project management skills; process-driven with the ability to communicate complex concepts and drive teams toward a shared vision
• A strategic leader with a deep obsession for product craft and detail 

Work Authorization

• You are authorized to work in the United States. Please note that currently, Everlaw is not sponsoring employment visas for this role.

Total Rewards

• The expected salary range for this role is between $217,000 - 275,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The base pay range is subject to change in the future.
• Participation in our equity program
• 401(k) retirement plan with company matching
• Health, dental, and vision insurance
• HSAs and FSAs for various expenses
• Company-sponsored life and disability insurance
• Paid parental leave and sick leave
• 17 paid vacation days plus 11 federal holidays
• Access to mental health and wellness resources like membership to Modern Health
• A generous L&D stipend for your personal growth
• Find out more about our Benefits and Perks

Perks

• A beautiful office in Uptown Oakland, just steps from the BART line and dozens of restaurants and walking distance to Lake Merritt
• Flexible work-from-home days on Tuesdays and Fridays
• Monthly home internet reimbursement
• Ability to select your hardware of choice (Mac or PC) and customize your desk setup
• A wide variety of snacks and beverages in the office
• Company-wide out-of-the-box events and fun activities with your team
• Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice
• Learning and career development opportunities (and a generous budget!)
• #LI-KP1
• #LI-Hybrid

What You’ll Do

Lead cutting‑edge research on next‑generation AI system architectures. The role is responsible for end‑to‑end co‑design of AI workloads, system‑level modeling, hardware platforms, and high‑performance processors that leverage Samsung’s advanced memory technologies to eliminate capacity, bandwidth, and large‑scale communication bottlenecks.

Location: Daily onsite presence at our San Jose Headquarters in alignment with our Flexible Work policy

AI System Architecture Leadership

• Define system‑level architectures that solve memory‑capacity, bandwidth, and interconnect challenges for large AI workloads (e.g., large language models, recommendation systems).
• Build and maintain analytical and event‑driven simulation frameworks for compute‑memory‑network performance at rack scale.
• Conduct design‑space exploration and quantitative trade‑off studies (performance, power, cost) to guide architecture decisions.
• Partner with SAIT HQ teams to align modeling insights with real‑world AI system implementations.

RISC‑V CPU Architecture Leadership

• Architect high‑performance, out‑of‑order RISC‑V CPU cores that serve as host processors for AI computing systems.
• Drive IPC‑focused feature path‑finding; lead micro‑architecture research through performance‑model simulation and workload analysis.
• Produce detailed micro‑architecture specifications and guide cache/memory hierarchy design for optimal AI workload execution.

Research & Innovation Management

• Lead a multidisciplinary research team, set technical roadmaps, and ensure delivery of high‑impact publications.
• Present architectural insights and strategic recommendations to senior leadership and external partners.

What You Bring

• Education: Ph.D. in Computer Science, Electrical Engineering, or a related field.
• Experience: 10 + years in system‑level architecture research or large‑scale computing platform design, with a strong focus on AI workloads.
• Technical Expertise:
  • Performance modeling, event‑driven simulation, and quantitative analysis of compute‑memory‑interconnect systems.
  • Deep knowledge of modern CPU/accelerator architectures (RISC‑V, ARM, x86) and heterogeneous integration.
  • Proven ability to design rack‑scale AI system architectures that address memory, bandwidth, and interconnect constraints.
  • Proficiency with transaction‑level modeling (TLM) and event‑driven simulation for compute‑memory‑network co‑design.
  • Experience in large‑scale design‑space exploration and PPA (performance, power, area/cost) trade‑off analysis.
  • Expertise in architecture and micro‑architecture design of out‑of‑order CPUs.
  • Hands‑on experience with simulation tools and programming languages such as Python and C++.
• Communication Skills: Excellent written and verbal communication; proven ability to deliver technical presentations to senior stakeholders. 

Preferred Experience

• Proven track record of publishing high‑impact research papers.
• Experience influencing product roadmaps through architectural recommendations.
• Strong collaborative history with cross‑functional teams (hardware, software, memory technology). 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
  • Innovative and creative, you proactively explore new ideas and adapt quickly to change

#LI-SF1

Why You'll Love This Role

You will work closely with the founding team and a group of highly-skilled engineers to shape the future of search and analytics of observability data. You will play a central role in bringing integrating cutting-edge Generative AI technologies with the Cribl Product suite to help solve real customer problems.  You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers.
On top of it all you will have fun. Cribl strives to be a great place to work for everyone. 

As An Active Member Of Our Team, You Will...

• Work with the product engineering teams to prototype and experiment with new AI features
• Work across backend, frontend, and interact with LLMs and/or other ML models
• Productionize, launch, and operate AI-based technology integrations into Cribl’s core products with the goal of solving real customer problems
• Stay up-to-date with the latest AI technologies and trends
• Work closely with fine tuning models, Prompt Engineering, and Inference Platforms
• This position will require stand-by, on-call, or off-hours duties

If You've Got It - We Want It

• Bachelor's degree in CS/EE with 6+ years of industry experience
• Ability to problem solve from first principles and maintain focus on overarching objectives
• Prior experience in contributing to products that have gained significant user traction or scaled to a large user base
• Experience as an AI/ML Engineer
• Experience with ML Ops
• Experience with Typescript/JavaScript and either Node or React

Salary Range ($200,000 - $250,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

You don't just demo software, you change how people think about what's possible. If you want to be the person in the room who makes engineers lean forward and executives say "when can we start," read on.

The Company

Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations chat, voice, video, messaging APIs and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users.

We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good.

We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack into intelligence, into experience, into outcomes.

We had a choice: protect what we built, or reinvent ourselves.

We chose reinvention.

In December 2024, we made the full strategic pivot to AI first customer experience. By February 2025, we'd launched our AI agent for enterprise CX built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai.

The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost the feeling of being truly understood and cared for. Not satisfied. Delighted.

The Product

Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel chat, SMS, email, voice, WhatsApp without losing the thread. We're building AI that makes customers feel understood, seen, and remembered.

Why Sales Engineer

AI is reshaping how enterprises think about customer communication. Sophisticated buyers no longer just want to know if our platform works. They want to know if it works for them, at their scale, inside their architecture, with their team.

We're at an inflection point: a decade of conversation infrastructure, now with AI on top, and a pipeline of buyers who need a technical partner, not a pitch deck. The Sales Engineers who thrive here earn trust from a principal engineer and a VP of Product in the same meeting, and use AI natively to work faster, demo smarter, and operate at a scale a traditional SE simply couldn't.

The Role

You own the technical sales cycle, from discovery through solution design to close, turning complex customer problems into confident reasons to choose Sendbird. You thrive at the intersection of technical depth and business impact, know the difference between a demo that informs and one that inspires, and use AI natively to move faster and do more than a traditional SE could alone. This is a hybrid role based in our San Mateo office (3 days/week). This role reports to the Global Head of Technical Services, based in San Mateo, CA

You might be this person if:

• Mapping a customer's architecture is a puzzle to solve, not a box to check, and you've already spun up a Claude Project or n8n workflow to automate the research before the call ends.
• You read a room fast, shifting depth and language on the fly between a skeptical backend engineer and a time pressed CTO.
• Your demos tell a story. You don't walk through features, you show people a future they hadn't imagined, using AI powered prototypes and agentic tools to make it land.
• You build Claude Projects, custom GPTs, and agentic workflows for your team out of genuine curiosity, not because your job requires it.
• You treat every discovery call like a research project, backed by AI-assisted prep agents and follow-up automations in Make or n8n so the repetitive work runs without you.
• You figure out what the customer needs before they tell you, propose the architecture, and ship it. If a bespoke dashboard or Claude-powered automation would close the deal, you build it.
• You're energized by multiple complex deals at once, partly because AI agents and workflow automation have eliminated the parts that don't require you.

You need to have:

• 3+ years in Sales Engineering (pre-sales) at a developer-focused platform SaaS and/or CPaaS company
• Bachelor's degree (CS, EE) or equivalent combination of education and experience
• Hands-on fluency with RESTful APIs, mobile SDKs, and integration workflows, with a clear understanding of how modern customer engagement workflows are built and scaled
• Working knowledge of at least one development environment (JavaScript/React, iOS/Swift, Android/Kotlin, Unity, React Native, or Flutter)
• Practical experience with generative AI concepts including LLMs, AI agents, and agentic workflows. You've built with these tools, not just read about them
• Familiarity with AI tooling such as Claude or ChatGPT, and automation platforms such as Make, Zapier, or n8n. Experience stringing together APIs or building lightweight automations is a strong plus
• Confidence navigating security and compliance conversations (SOC 2, ISO-27001/42001, HIPAA, GDPR) with technical and non-technical stakeholders
• Strong written and verbal communication in English
• Ability to travel for customer onsite visits

What you'll actually do:

• Own the technical narrative across the full deal cycle, from discovery calls and technical deep dives to executive presentations, alongside Account Executives at every stage.
• Run structured discovery with engineers, product managers, and architects to surface real pain points and map them to Sendbird's APIs, SDKs, and AI agent capabilities, using AI-assisted prep workflows to come in sharper every time.
• Design solution architectures tailored to each customer's stack and goals, whether they're building an AI-powered in-app chat experience, deploying an AI support agent, or scaling to millions of users.
• Build and deliver demos that go beyond feature walkthroughs, using agentic tools and custom prototypes to show customers what their product could actually become with Sendbird underneath it.
• Automate repeatable pre-sales work, including lead research, follow-up summaries, and demo environment setup, using tools like Claude, Make, or n8n, freeing you for the work AI can't do.
• Articulate Sendbird's security and compliance posture clearly and confidently, helping enterprise buyers navigate procurement.
• Work closely with Product and Engineering to feed pre-sales insights back into the roadmap, serving as a direct line between the market and the people building the product.
• Track emerging trends in AI agents, developer tooling, and communication infrastructure, and bring those insights into customer conversations.

What we offer:

We take care of the people who build the future. Here's some of what you can expect when you join Sendbird.

• Medical, dental, and vision coverage, on us. Sendbird covers 100% of the premium for our employees and roughly 80% for their dependents.
• Generous time off. 20 days PTO, 13 company holidays, 7 sick days, 2 rest & rejuvenation days, 1 volunteer day, and your birthday off.
• $3,500 annual "Be Your Best Self" boost. Spend it on anything that helps you grow. Gym memberships, therapy, books, courses, massages, and more.
• Parental leave for all new parents. Time to be present for the moments that matter most.
• 401(k) from day one. Auto-enrollment, flexible contributions, and access to Vanguard's investment platform.
• HSA & FSA options. Pre-tax accounts to cover healthcare, dependent care, and commuter expenses.
• Life & disability coverage, fully paid. Life insurance and AD&D at 2x your salary, plus short- and long-term disability at no cost to you.

Pay Transparency

For cash compensation, we set standard ranges for all roles based on function, level, and geographic location.  To determine our ranges, we utilize a variety of compensation data benchmarked against similar-stage growth companies.   A reasonable estimate of the current salary range for this role is $200,000.00 - $235,000.00.  This range is specific to the San Francisco Bay market.  We consider several factors when making final compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs which may cause your specific offer to vary from the amount listed above.

Flexible Work Policy

We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position.

What diversity and inclusion mean to us

There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you.

Why Sendbird

We just made one of the boldest pivots in our company's history and we're already seeing it pay off. If you want to sell something that's genuinely changing how enterprises think about AI and customer experience, this is it. You'll have real ownership, real access to leadership, and real impact on how we win. We move fast. We build things that matter. Come help us close the deals that define what delight.ai becomes.

Sendbird is building the AI workforce of tomorrow, and we hire that way too. Learn more about our interview process, how we evaluate candidates, and the role AI plays along the way.

C3 AI is seeking an experienced Tax Manager to join our team to lead all aspects of our tax practice. You will be responsible for managing tax reporting, providing innovative tax planning strategies, and ensuring compliance with all applicable laws and regulations. The ideal candidate is a proactive leader capable of mentoring staff and collaborating with internal stakeholders to optimize tax-efficient business practices. 

Please note that this position is full-time and located onsite at our Redwood City office.

Responsibilities:

• Manage the accurate and timely preparation of U.S. consolidated income tax return and state income tax returns, as well as local international subsidiary returns.
• Develop and implement tax-efficient strategies to minimize liability and improve financial performance.
• Manage tax audits, respond to inquiries from tax authorities, and prepare necessary documentation.
• Monitor legislative changes, perform technical tax research, and manage tax provisions in accordance with the U.S. GAAP.
• Streamline tax procedures, implement new technology, and maintain effective internal controls.
• Collaborate with accounting and finance team on tax accounting matters, and transactional analysis
• Monitor changes in tax laws and communicate relevant updates to internal stakeholders
• Work with Legal, Revenue Operations, and Procurement on deal structuring, vendor contracts, and customer agreements to identify tax implications early.
• Actively participate in the monthly and quarterly close process, ensuring timely and accurate recording of journal entries, accruals and reconciliations.
• Support international operations by coordinating with foreign subsidiaries on statutory reporting requirements, local compliance deadlines, and cross-functional finance initiatives across multiple jurisdictions
• Partner with the internal audit and finance teams to support SOX 404 compliance, including documentation of controls, coordination of testing activities, and timely remediation of any identified gaps

Qualifications:

• Bachelor’s degree in Accounting, Finance, or related field; master’s degree in taxation or MBA is preferred.
• Certified Public Accountant (CPA) license preferred.
• 5+ years of relevant experience in tax accounting, preferably with at least 2 years in a supervisory role (Big 4 or large corporate experience highly valued).
• Broad technical knowledge of US and international tax laws and regulations
• Strong accounting skills including inter-company transactions and eliminations, as well as experience with statutory local accounting
• Solid GAAP Financial Accounting/ASC 740 knowledge
• Familiarity with SOX 404 compliance processes, including internal control frameworks, audit coordination, and working effectively with external auditors in a fast-paced, high-growth environment
• Excellent business acumen with a sound understanding of the tax implications of a multi-national technology company
• Detail-oriented, with strong analytical and problem-solving skills, and advanced proficiency in Microsoft Excel
• Effective presentation skills and solid project management skills
• The ability to communicate complex tax and industry concepts to colleagues and key stakeholders through strong writing and speaking skills
• Ability to work independently and as part of a team, hands on mentality and can-do attitude

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards—you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
• Strong stakeholder management skills—proven ability to present complex technical findings to non-technical audiences.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
• Experience with dbt for data modeling and transformation.
• Experience building and maintaining data pipelines using orchestration tools such as Airflow.
• Experience working with APIs for data ingestion and integration.
• Familiarity with version control systems (Git).
• Experience in fintech, financial services, or payments.
• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

About the Role  

We’re looking for a Senior Software Engineer on our Sports AI team to help build the next generation of real-time AI systems powering sports analysis and insights. 

These systems transform live sports broadcasts (incorporating signals from video, crowd noise, audio commentary, and text) into a structured understanding of game context and auto-generated insights. The outputs from these systems power a range of products including automated highlight clipping, augmented broadcasts, semi-automatic play-by-play collection, and natural-language insight generation. For example, these systems can detect a goal, attribute it to the correct player, and localize where it occurred on the pitch within seconds by combining crowd noise spikes, commentary signals, and video cues. 

This role sits at the intersection of streaming and distributed systems, AI, and product engineering. You’ll build and operate real-time pipelines that process noisy, asynchronous inputs under tight latency constraints. These systems combine traditional streaming and data processing techniques with modern multimodal AI models to produce reliable outputs in production. 

You’ll work on challenges like aligning signals across multiple sources, handling uncertainty and inconsistency in model outputs, and designing systems that degrade gracefully in real-world conditions. We are early in building these capabilities, so the role involves working through ambiguity, experimenting with different approaches, and building new systems from first principles where established patterns don’t yet exist. 

Key Responsibilities 

• Design, build, and operate real-time streaming systems that convert live sports broadcasts into structured events, attributes, and insights
• Ingest and synchronize signals from video, audio, commentary, and data feeds under real-world latency and reliability constraints
• Integrate modern AI models into production systems, including multi-step pipelines where model outputs are composed, validated, and refined
• Design and implement evaluation and observability frameworks to measure system quality, including offline benchmarks, real-time metrics, and regression testing
• Develop mechanisms for identifying and handling uncertainty in model outputs, such as confidence scoring, validation checks, and human-in-the-loop workflows where appropriate
• Own systems end-to-end from early prototypes through production, making key architectural decisions around scalability, reliability, and performance
• Collaborate closely with product and data partners to shape, prioritize, and ship high-impact systems
• Mentor engineers and help establish best practices for building and operating applied AI systems in production 

  
Qualifications   

• 5+ years of experience building production-grade software systems 
• Strong software engineering fundamentals including system design, testing, observability, and performance 
• Experience building streaming, data-intensive, and/or distributed systems with real-time constraints
• Proven ability to design scalable systems that are robust under real-world conditions, including handling partial failures, inconsistent data, and latency tradeoffs
• Ability to evaluate system quality beyond traditional metrics (e.g., ambiguous or probabilistic outputs)
• Product-minded: able to translate ambiguous problems into practical, high-impact solutions
• Strong, demonstrated interest in building AI-powered features or systems; keep up with latest generative AI progress and capabilities
• Comfortable working in fast-moving, iterative environments with evolving requirements 

  
Preferred Qualifications   

• Hands-on experience integrating LLMs and other ML/AI systems in production workflows via platforms like Vertex AI or AWS Bedrock
• Experience building or maintaining human-in-the-loop workflows
• Familiarity with streaming systems and tooling (e.g., Pulsar, Kafka, Flink, etc.)
• Experience working with audio/video streaming and processing systems, including familiarity with media delivery protocols (e.g., HLS, DASH, RTP), container formats, codecs, and tooling such as FFmpeg or GStreamer
• Background or strong interest in sports
• Experience with Rust 

The salary for this role is based on an annualized range of $160,000 - $230,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change 

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Energy Solutions is seeking a proactive and technical Systems Administration Manager to oversee our day-to-day IT operations. In this role, you will manage the implementation, support, and maintenance of our core platforms—including corporate networks, telephony, and enterprise software—to ensure a secure and efficient environment for our hybrid workforce.

As a hands-on manager, you won't just oversee the sidelines; you will supervise a small team balancing delegation with direct technical contribution. You will be responsible for prioritizing workloads, mentoring staff, and stepping into the trenches to resolve tickets or provide backup support whenever necessary.

This role is 100% onsite, and the selected candidate will be required to work from our office in Downtown Orange, California.

Responsibilities include, but are not limited to:

• Supervise the Systems Administration team, providing ongoing guidance, feedback, and coaching to foster professional growth and high-quality performance.
• Set clear workload goals to ensure the timely resolution of service requests and operational tasks.
• Author and maintain comprehensive processes, procedures, and technical documentation.
• Track and manage a portfolio of IT-related projects and initiatives within the systems administration function.
• Ensure corporate networks, telephony systems, alarm systems, and security cameras are properly maintained, monitored, and secured.
• Continuously evaluate system health, addressing technical issues in partnership with the team.
• Validate and deploy operating systems, firmware, and software updates across both Windows and Mac environments.
• Evaluate and offer improvements to maintenance efforts related to cloud infrastructure, specifically within Microsoft Azure environments.
• Resolve or escalate complex technical issues by working directly with team members and peer IT leaders.
• Serve as a backup administrator, providing direct support when team members are unavailable.
• Review open tickets and incidents to identify recurring problems or trends.
• Partner with IT Security Management to ensure systems and processes adhere to SOC 2, NIST, and internal security standards.
• Maintain backup and recovery of readiness, including rigorous documentation and periodic testing.
• Evaluate system administration workflows to identify opportunities for automation and process enhancement.
• Support vendor engagement (contracts/licenses) and assist in IT operations budget planning.
• Provide regular updates to IT leadership on system performance, project progress, and significant issue resolution.

Minimum Qualifications:

• Bachelor's degree required in Information Technology, Computer Science, or related field.
• 7 years of progressive experience in IT systems administration with 2 years of supervisory experience.
• Demonstrated experience implementing, maintaining, and supporting enterprise networks and infrastructure.
• Experience configuring a variety of software platforms and enterprise-level systems.
• Demonstrated experience leading systems administration projects and coordinating work across technical teams.
• Experiencing managing vendor relationships and supporting technology procurement activities.
• Experience with business continuity planning and data recovery and protection practices.
• Advanced knowledge of Windows and macOS environments, including system configuration, patching, and troubleshooting.
• Experience with systems such as Datto RMM, Intune, Slack, Zoom, Tableau, and MS Azure.
• Functional understanding of IT security protocols and compliance requirements, including SOC 2 and NIST standards.
• Excellent troubleshooting, interpersonal communication, and technical documentation skills.
• Experience developing and reporting IT operational metrics and dashboards.
• Ability to work independently while collaborating within a team-based environment.
• Demonstrated ability to support a guide team member while maintaining accountability for outcomes.

Preferred Qualifications:

• ITIL certification or equivalent knowledge and experience.
• Certification in Microsoft technologies, including Azure, desktop VMs, SharePoint, and Exchange Online.
• Project management certification such as PMP or Agile/Scrum (CSM, SAFe, or equivalent).
• Experience managing infrastructure environments on cloud platforms.
• Hands-on experience supporting remote work environments.
• Experience participating in system modernization, automation initiatives, or platform migrations.
• Familiarity with Microsoft Power Automate.
• Ability to apply scripting or automation concepts to improve operational efficiency and system reliability.

The salary range for this role is $122,600–$159,400, with a target compensation of $122,600 - $140,000 based on experience and qualifications.

Role Description

As a Senior Value Engineer specializing in the Public Sector, you are pushing the envelope in solving critical operational challenges for State and Local Government agencies. You will be working with our most strategic public sector clients, understanding their unique objectives—from enhancing citizen services and modernizing legacy systems to optimizing grant management and regulatory compliance—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with top AI and ML technology partners, such as Microsoft, OpenAI, and Databricks.

With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands the complex realities of government operations (breaking down agency silos) and enables agencies to industrialize AI. This unlocks real ROI on AI deployments, maximizing taxpayer value at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to government CIOs and Agency Directors, and ensure successful implementation, adoption, and value realization to increase the footprint of Celonis across state and local governments.

Key Responsibilities:

• AI Discovery & Solutioning: Understand public sector AI strategies and specific agency challenges (e.g., benefits administration backlogs, procurement bottlenecks, public safety resource allocation, or permitting delays). As a Celonis product and government domain expert, find the best problem-solution fit and translate agency requirements into innovative solutions that deliver measurable public impact.

• Pre- and Post-Sales Execution: Actively drive the full customer lifecycle within the public sector. Lead technical discovery and capability demonstrations during the complex government pre-sales and procurement (RFP) cycles, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully met.

• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude, and don’t shy away from complex legacy processes. Leverage cutting-edge AI technologies to rapidly build creative prototypes in agency hackathons, solving critical pain points to improve constituent experiences.

• Agentic Process Transformation: Support our government customers in achieving real value out of AI deployments at scale, enabling a fundamental shift from traditional, rigid, paper-heavy workflows to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent case triaging or automated compliance checks).

• Proof Projects: End-to-end execution of critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with government enterprise data, identity protocols, and stringent compliance/security frameworks (e.g., StateRAMP, HIPAA, CJIS).

• Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for the State & Local Government vertical, scaling knowledge across the organization regarding agency processes and public sector nuances.

Requirements:

• 5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Public Sector (State & Local Government). This includes navigating government procurement cycles, building compelling ROI business cases for public funds, and guiding technical implementations through to constituent value realization.

• Deep understanding of business processes native to state and local governments (such as Health & Human Services, Procurement, Finance, DMV operations, or Public Safety) with the ability to translate high-level policy or agency needs into specific, impactful AI use cases.

• Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., intelligent constituent-facing chatbots, automated processing of policy documents, or grant application analysis).

• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.

• Strong presentation skills to both internal and external stakeholders (including elected officials, agency directors, and IT leadership), whether leading technical whiteboarding sessions or formal readouts and demos.

• Bachelor’s Degree required; Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly scrutinized public sector environments.

• Experience in deploying and monitoring models at scale within government-compliant cloud environments (e.g., AWS GovCloud, Azure Government).

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.

Visa sponsorship is not offered for this role.
Learn More about Value Engineering at Celonis Here

Role Description

• As an Applied AI Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

Key Responsibilities:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
• Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
• Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached
• Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries

Requirements:

• 7+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
• Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
• Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

The role 

The Technical Director of Media and Entertainment, AI Infrastructure is a senior engineering leader who will initially operate as an individual contributor at the intersection of deep AI infrastructure engineering and the business of media and entertainment, with a clear path to building and leading a team as the business scales.

You will work alongside CTOs and engineering leaders at studio groups, VFX houses, gaming studios, agency holding companies, and generative AI model companies. Your role is not to pitch them; it is to build with them. You will translate their most complex infrastructure problems into engineered solutions, own the technical relationship with our most strategic ISV and cloud-native partners, and use what you learn in the field to directly influence the M&E product roadmap alongside Nebius's global Head of Product and Head of Engineering.

This is a ground-floor opportunity to define what AI-native infrastructure looks like for an industry in the middle of a fundamental transformation.

You are welcome to work remotely from the United States (SF Bay Area or NYC preferred) Travel expectations 10%-20% for executive meetings and key industry events. 

Your responsibilities will include: 

AI Infrastructure Architecture

• Own the Technical Blueprint: Personally architect the infrastructure solutions for our most strategic M&E partnerships , studio-scale content production pipelines, agency data consolidation plays, generative AI model deployments. These architectures must be engineered to survive real-world scale, not just pass a POC.
• The Physics to P&L Narrative: Fluently demonstrate to executive stakeholders how infrastructure decisions , data lake locality, storage tiering, inference optimization, directly impact their business model and operability.

Forensic Requirement Gathering

• Deconstruct the Bottleneck: Go beyond the stated problem to find the technical truth. Translate vague business goals (e.g., “We need lower rendering costs”) into precise engineering requirements (e.g., “We need to optimize the inference batch size on L40s to reduce cost-per-token by 30%”).
• Map the Transition: Identify exactly where a customer sits on the curve from legacy service bureau to AI-native tech platform and prescribe the specific infrastructure intervention needed to move them forward.

ISV & Partner Technical Strategy

• Build and Validate the Integration Layer: Identify, engage, and technically validate relationships with the most critical ISVs in the media and entertainment landscape, from rendering and VFX toolchains to generative AI platforms.
• Define the Standard: It is not enough to support these tools. You will define the reference architectures for how they run best on Nebius infrastructure, and work directly with ISV engineering teams to build and publish those standards.
• Decide What’s Worth Doing: In partnership with the GM, evaluate ISV and partner opportunities on their technical merit and strategic leverage , and be equally rigorous about what not to pursue.

Internal Technical Influence

• Shape the M&E Roadmap: Use forensic evidence from the field to prioritize and justify the M&E vertical roadmap. You will work directly with Nebius’s global Head of Product and Head of Engineering to translate partner and customer needs into product direction.
• Lead the M&E Product Summit: Chair a quarterly summit with Core Engineering leadership, using field evidence to drive roadmap decisions and maintain vertical momentum.

We expect you to have: 

• 12+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain.
• Executive Presence: Capable of commanding a room of engineers and presenting a layered technical roadmap to a C-Suite. You have operated at the top-to-top level , your counterparts are CTOs and VPs of Engineering.
• Builder Mentality: This role begins as a hands-on individual contributor position. You will architect and ship solutions alongside partners and build the assets (reference architectures, integration playbooks, technical frameworks) that make Nebius's M&E infrastructure strategy defensible and scalable. As the business case develops, this role is explicitly designed to grow into a team-building and leadership function, with the expectation that you will recruit, shape, and run that team. You may have come from a startup, run your own company, or operated within a large org in a way that felt like building from zero, and you know how to transition from maker to multiplier.
• Product-Minded: Experience defining a platform strategy, not just executing tickets. You are comfortable telling a customer “No” when a request creates technical debt, and proposing a better alternative.
• Ambiguity Tolerance: You thrive in environments where requirements are evolving. You do not wait for a roadmap; you build it.
• Forensic Mindset: You are not satisfied with surface-level answers. You dig into the kernel, the logs, and the P&L to find the truth.

AI Infrastructure Expertise

• Mastery of the Stack: Expert-level, production-grade knowledge of GPU architectures (H100, L40s), Kubernetes orchestration including Soperator, high-performance and parallel file systems (e.g., Lustre, WEKA), data lake architecture, and networking constraints (InfiniBand/Ethernet).
• Inference Optimization: You understand the nuances of model serving , batch sizes, quantization, KV caching, latency tradeoffs , and can architect solutions for both massive throughput and real-time (sub-50ms) demands.

Domain Context: Media & Entertainment

Industry Fluency: You have operated within the M&E ecosystem and can speak to the infrastructure implications across the following sub-sectors:

• Gaming
• Multimodal Generative Models
• AdTech
• VFX / Content Production

Non-negotiable: Candidates without deep, production-grade working knowledge of GPU infrastructure and inference-based solutioning will not be considered. This is a hard requirement, not a preference.

AI Infrastructure Expertise 

• Mastery of the Stack: You must be an expert in the physics of AI infrastructure. This includes deep, production-grade knowledge of GPU architectures (H100 vs. L40s), Kubernetes orchestration (K8s), high-performance storage parallel file systems (e.g., Lustre, WEKA), and networking constraints (InfiniBand/Ethernet). 
• Inference Optimization: You understand the nuances of model serving—batch sizes, quantization, KV caching, and latency tradeoffs—and can architect solutions for both massive throughput and real-time (sub-50ms) demands. 

It will be an added bonus if you have:

• Hands-on experience with VFX pipelines, studio-scale content production workflows, or the cloud tooling that powers them , render farm management, distributed simulation, asset pipeline tooling. You understand how content gets made, moved, and transformed at scale, and what infrastructure makes that possible.
• Strategic Empathy: The ability to distinguish between customers who need raw bare-metal access and those who need managed endpoints, and the wisdom to prescribe the right path.

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $295k - $365k OTE (On Target Earnings) + Equity based on your experience.

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team.

We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystem, reshaping complex large-scale services and team leadership. You will lead a talented team building a complex product suite using GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems.

This role will be based in North America west coast, and offers a hybrid working model. 

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
• Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling
• Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
• Having experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant
• Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs
• Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset
• Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence
• Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and team processes
• Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap
• Begin mentoring team members and building strong collaborative relationships with your product counterparts

Within six months, you will have:

• Successfully led the team to deliver a major feature or product release
• Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams
• Established a clear rhythm of execution and a high-performing culture within your team

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the code transformation domain at MongoDB
• Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business
• Played a crucial role in recruiting, hiring, and growing the engineering team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 1273362479

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.

We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges.

We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI.

The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle.

This role will be based in North America's West Coast (PST), and offers a hybrid working model.

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• Deep experience in building data warehouses and core components for data processing systems
• Have experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Key Responsibilities

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages
• Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem
• Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments
• Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions
• Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages
• Developed a comprehensive grasp of all AMP pillars and their roadmap

Within six months, you will have:

• Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team
• Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap
• Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages
• Served as a role model and strategic leader for the AMP org
• Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members

Within 12 months, you will have:

• Become recognized as the strategic engineering leader both within and outside of the AMP organization
• Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future
• Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams
• Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations
• Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req. ID: 1273362664

The Senior Sales Specialist is responsible for tracking and managing orders, verifying pricing, working with Logistics.  Monitor accounts receivable, process RMA’s, sample requests and create invoices for certain accounts as needed and resolve issues.

What You’ll Do

• • Support Sales Representatives, HQ and customers-answer questions, resolve issues.
  • Track and manage product owed to customers, including expediting orders, verifying pricing, working with warehouse to ensure product is shipped quickly and efficiently to customers.
  • Monitor accounts receivable and resolve credit issues with customers and Samsung’s credit department.
  • Aggregate customer and sales forecast; enter data into the Demand Planning system
  • Monitor and process all RMA requests and discrepant returns.     
  • Manage sample request.     
  • Create, enter and invoice customer orders through SAP
  • Prepare and provide reports to management

  Location: Daily onsite presence at our San Diego, CA office/headquarters in alignment with our Flexible Work policy
  Reports to: Sr Dr , B2B Account Sales  

What You Bring

• • • BA degree
    • Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals
    • Ability to calculate figures and amounts
    • Resourceful Achiever: self-driven and proactive, you apply logic and reason to effectively solve problems and manage risks.
    • Avid Learner: you eagerly take on new challenges and seek out opportunities to grow and stretch.
    • Passionate Owner: you are energized by your work, taking ownership and delivering results without ego.
    • Committed Collaborator: with a positive attitude and commitment to get to the best result, you welcome ideas from others and drive processes forward in an inclusive manner.

    Preferred Skills & Experience

    • Sales , detail oriented, communication skills
    • Proficiency in Microsoft Excel, Outlook, and Powerpoint
    • Semiconductor industry or supply chain experience
    • Korean speaking/writing

#LI-KS1

Join the IT Engineering team as a Staff AI Enablement Engineer, where you will serve as the primary driver of AI enablement and solutions engineering across all departments at Checkr. This is a highly visible, hands-on role that blends deep technical expertise with a passion for teaching and empowering others. You will lead the charge on understanding team-specific requirements, configuring and evaluating AI tools, building bespoke AI-powered solutions, and standing up templatizable workflows that scale across the organization. From running office hours and hackathons to creating reusable resources and training materials, you will be the go-to person for helping every team at Checkr unlock the full potential of AI.

What you’ll do:  

• Requirements Gathering & Enablement: Embed with internal teams across departments to deeply understand their workflows, gather requirements, identify high-impact AI use cases, and translate business needs into actionable technical solutions.
• Lead Office Hours & Hackathons: Own and facilitate recurring AI office hours for drop-in support and guidance. Design and lead company-wide AI hackathons that inspire experimentation, knowledge sharing, and the discovery of innovative use cases.
• AI Tool Configuration & Evaluation: Evaluate, configure, and recommend the right AI tools and platforms for the organization. Stay on top of the rapidly evolving AI tooling landscape and make informed build-vs-buy recommendations.
• Build Bespoke AI Solutions: Design, develop, and deploy custom AI solutions tailored to specific team needs—leveraging LLMs, RAG architectures, agentic workflows, and automation frameworks to solve real business problems.
• Create Resources & Artifacts: Develop reusable playbooks, prompt libraries, workflow templates, how-to guides, and reference architectures that enable teams to self-serve on AI adoption.
• Templatize AI Workflows: Architect and implement standardized, templatizable AI workflows that can be adapted and deployed across multiple teams and use cases, driving consistency and scale.
• Training & Teaching: Lead hands-on training sessions, workshops, and demos to teach teams how to effectively use AI tools and integrate them into their day-to-day work. Act as a force multiplier by building AI fluency organization-wide.
• Cross-Functional Collaboration: Partner closely with Engineers, Business Systems, Security, Data Engineering, and other AI Solutions Engineers to integrate AI technologies into existing systems, ensuring security, compliance, and scalability.
• Strategic Planning & Roadmapping: Contribute to the AI strategy and roadmap at the organizational level, aligning initiatives with business priorities and ensuring AI investments deliver maximum value.
• Communicate & Evangelize: Present findings, demo solutions, share progress updates, and advocate for AI adoption with stakeholders ranging from individual contributors to executive leadership.

What you’ll bring:  

• Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience. A graduate degree is a plus.
• 5-7+ years of experience in engineering, solutions engineering, or technical enablement roles, with a track record of deploying solutions that measurably enhance productivity.
• 4+ years of hands-on experience developing AI-centric products and solutions, including machine learning, generative AI, LLMs, RAG architectures, agentic frameworks, and prompt engineering.
• Deep proficiency in Python and experience with AI frameworks and tools such as LangChain, LangGraph, LlamaIndex, OpenAI API, and similar; familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure).
• Demonstrated ability to lead enablement programs—including running office hours, hackathons, training sessions, and creating scalable documentation and resources.
• Proven experience gathering requirements from non-technical stakeholders and translating them into well-scoped technical solutions.
• Exceptional ability to tackle open-ended, ambiguous problems in unstructured environments, synthesizing complex information into actionable plans and deliverables.
• Strong communication and presentation skills, with the ability to make complex AI concepts accessible to diverse audiences—from engineers to executives.
• A builder’s mindset: you are equally comfortable architecting a solution, writing production code, creating a training deck, and facilitating a workshop.
• A deep passion for AI and a genuine desire to help others harness its potential to transform how they work.

What you’ll get:

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend, home office stipend

#LI-TD1

This is a hybrid role that will sit out of our San Francisco office. Hybrid in-office Tuesdays and Wednesdays of each week. 

About the Role

We are looking for a builder to help lead our ‘AI for Work’ efforts. Together with the Director of AI Strategy and Enablement, you will build the internal AI infrastructure that makes our teams more efficient. That means building, evaluating vendors, and continuously evolving the AI systems our teams run on with the goal of maximizing every person's efficiency and scaling our ability to deploy agents across the business. You will embed directly within business functions across the organization, deeply understand how teams operate today, and fundamentally reimagine how they should operate tomorrow. This is not about bolting automation onto existing processes; it's about redesigning how work gets done with agentic tooling transforming (and eliminating) workflows. You will partner with leaders across the business to surface high-impact opportunities, architect intelligent solutions, and deliver measurable gains in productivity, output quality, and the experiences we deliver to our employees. You will define what "AI-native operations" looks like inside Taskrabbit. 

As the AI Productivity and Business Automation Lead, you will also own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Taskrabbit. You’ll work closely with the Director of AI Strategy and Enablement and functional leads to map high-value process bottlenecks and identify AI solutions. You’ll also help create structured experiments and pilot programs that demonstrate measurable business impact. In addition, you’ll help bring cutting-edge AI technology into practical application, supporting implementation and tracking success to drive our AI Strategic Plan. 

You will be responsible for "mining" the business for efficiency opportunities while simultaneously helping to build the centralized orchestration layer that ensures our enterprise AI spend is governed, consistent, and scalable. This is a high-impact IC role designed for a "scrappy builder" who thrives on turning internal complexity into streamlined, automated excellence. 

What You Will Do: 

• Partner multiple functional leaders to define new standards for how teams operate in an AI-augmented environment. Reporting to the Director of AI Strategy and Enablement, you will establish the "AI-first" baseline for daily execution, ensuring that ways of working are clearly defined and consistent across all non-engineering functions. 
• Conduct structured discovery, shadowing teams, interviewing stakeholders, and mapping end-to-end processes, to identify where AI can eliminate, redesign, or dramatically accelerate work 
• Embed within internal business functions to develop a deep, firsthand understanding of current workflows, pain points, and decision-making processes to map high-value process bottlenecks. 
• Reimagine workflows from first principles rather than automating existing steps; challenge assumptions about what requires human involvement and what doesn't
• Design, build, and deploy AI-powered automations, agents, and internal tools that reduce time spent on repetitive, low-value-add tasks while improving the quality and consistency of outputs 
• Integrate large language models, agentic frameworks, and automation platforms into internal workflows with appropriate guardrails, error handling, and human-in-the-loop checkpoints
• Measure everything: establish baselines before intervention, track adoption and usage patterns post-deployment, and quantify productivity impact in terms of hours saved, error rates reduced, and cycle times compressed 
• Serve as a trusted advisor to functional leaders on what AI can and cannot do for their teams; translate business problems into technical solutions and technical constraints into business language 
• Stay abreast of the rapidly evolving AI tooling landscape (e.g., LLM capabilities, orchestration frameworks, RPA-to-AI convergence, no-code/low-code platforms) and calibrate our internal stack accordingly 
• Build reusable patterns, templates, and playbooks so that successful automations in one function can be adapted and scaled across others 
• Collaborate closely with the engineering and product organizations to ensure internal automation efforts align with our broader technology strategy and do not create shadow IT risk 
• Help to define the framework for evaluating the success and health of our workforce transformation. You will determine the key signals that demonstrate progress, partnering with Finance and Data Science to ensure that operational shifts deliver validated value to Taskrabbit. 
• You will focus on moving beyond tool adoption to fundamental change, ensuring our teams are positioned to focus on high-value, high-judgment work that drives enterprise performance. 
• Beyond individual projects, you will focus on helping to build the mindset and capability for teams to lead their own evolution. You will create the models that allow the organization to stay agile, ensuring the workforce can continuously adapt as technology and market conditions change. 

Skills Required: 

• Educational Foundation: You hold a Bachelor’s degree in Computer Science or a comparable technical field, with demonstrated interest in Business Analytics, Finance, Data Science, applied AI, or related disciplines. 
• Experience: You bring 5+ years of professional experience, including 1–2 years of direct, relevant experience in AI, data, or analytics-driven roles. 
• GenAI Fluency: You have hands-on experience with generative AI tools (e.g., Gemini, ChatGPT, Claude) through professional, academic, or personal projects, with a strong understanding of concepts such as state management and prompt versioning. 
• AI & ML Knowledge: You possess a solid understanding of AI technologies and machine learning concepts, and can apply them effectively in business contexts.
• Analytical Thinking: You demonstrate a strong analytical mindset, with the ability to design experiments, interpret metrics, and distinguish meaningful signals from noise.
• Communication Skills: You communicate clearly and concisely, translating complex technical insights into actionable recommendations for non-technical stakeholders.
• Ownership & Drive: You exhibit curiosity, a bias for action, and a strong sense of ownership in fast-moving, ambiguous environments. 
• Hands-on Builder Mindset: You are a scrappy, execution-oriented builder who can take ideas from stakeholders and independently develop working agentic workflows without relying on external engineering resources. 
• Business Acumen: You translate complex AI capabilities into clear business value, articulating ROI and impact for diverse stakeholders. 
• Operational Excellence: You bring rigor to operations, including managing vendor relationships, forecasting technical costs (e.g., token usage), and maintaining system reliability and SLAs. 
• Strategic AI Perspective: You stay current with rapid advancements in AI (e.g., LLMs, agents), proactively identifying implications for business and workforce transformation. You effectively bridge the gap between what is technically possible and what is practically scalable. 
• Leadership & Influence: You are a self-starter who thrives in ambiguity and can lead high-stakes discussions with senior leaders, using structured thinking and compelling storytelling to drive alignment and change. 
• Impact Orientation: You are deeply data-driven, partnering effectively with Finance and Data Science to define success metrics and ensure initiatives deliver measurable productivity gains and business impact. 
• Continuous Learning: You demonstrate strong intellectual curiosity and a commitment to continuous learning, staying ahead of emerging technologies to ensure long-term organizational readiness.

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $192,000 - $250,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop and maintain highly interactive, large-scale and complex web-based visual analytics tools on AI/ML workloads.
• Design and implement creative and performant visualizations to assist in diagnosing issues or uncovering optimization opportunities in AI/ML inference and serving.
• Collaborate closely with hardware architects and compiler engineers to define, design, and implement effective visualization solutions enhancing their workflow.
• Develop high-performance visualization workflows by integrating independent graphics modules with micro-services to handle asset optimization, ensuring a non-blocking experience on the client.
• Continuously seek improvements to existing tools and develop new approaches to meet fast-evolving requirements.
• Stay up-to-date with the latest advancements in web development and visualization techniques.
• Contribute to the development of the documentation and user guides.
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• An innate drive to clarify deep technical complexity, balancing creative visualization with engineering rigor to build analytical tools that make interdependent hardware and software models intuitive without sacrificing logical precision.
• Strong experience in full-stack visual analytics software development, with a focus on building scientific or infrastructure visualization tools. Experience in AI model visualization integrated with PyTorch is a plus.

• Strong proficiency in modern frontend technologies like React and backend technologies like Node.js or Python-based frameworks. Experience in graph-based UI is a plus.
• Proven experience in WebGL/WebGPU based frameworks such as three.js or deck.gl. GLSL experience is a plus. Experience in WebAssembly with C++ is a plus.
• Excellent problem-solving skills and ability to think critically and creatively.

• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-VL1

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Location: Live in or able to relocate to San Francisco / San Jose area

Your Role:

Tenable is not only building great products and carving out a completely new category, but we are also building a world-class engineering culture committed to hiring the very best.

We are looking for a Senior Software Engineer to join a founding initiative within our engineering organization. In this role, you will help design and implement the Agentic AI Platform, the orchestration layer and nervous system that enables autonomous agents to reason, plan, and execute complex security workflows across our Exposure Management ecosystem.

This is a hands-on engineering role with broad impact. You will not just be "using" LLMs; you will be building the distributed systems, state machines, and tooling that transform generative models into reliable, enterprise-grade agents. 

While you will work from home the majority of your time, there may be an expectation to gather for in-person meetings on occasion. 

Your Opportunity:

• Build the Agentic Backbone: Architect and implement the backend services that power multi-agent workflows. You will build systems that allow AI agents to decompose complex user requests, manage state, and execute tasks across distributed microservices.
• Orchestration & Workflow Automation: Design scalable workflow engines and "human-in-the-loop" systems. You will enable agents to perform long-running investigations and remediation tasks, balancing autonomy with control.
• Bridge AI & Enterprise Infrastructure: Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture.
• Reliability & Guardrails: Implement verification layers, citations, and security guardrails to ensure agents operate deterministically and safely. You will treat "prompts" as code and model outputs as untrusted input that requires validation.
• Tooling & RAG: Build advanced Retrieval-Augmented Generation (RAG) pipelines and "Tool Use" capabilities, allowing agents to query databases, call internal APIs, and synthesize data from disparate sources.
• Lead Technical Direction: Collaborate with researchers and product leads to define the roadmap for AI orchestration. Champion best practices for MLOps, agent evaluation, and system observability.

What You’ll Need:

• B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of software engineering experience (7+ for Staff level), with a strong background in building backend systems, APIs, and platforms.
• Agentic AI Expertise: Hands-on experience building AI agents and autonomous workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Pydantic AI.
• Location: Live in or able to relocate to San Francisco / San Jose area
• Polyglot Proficiency: Strong programming skills in Python (essential for AI/ML ecosystems) with experience in, or a willingness to work with, JVM-based languages (Java, Kotlin, or Scala) for high-scale platform components.
• Distributed Systems: Experience designing event-driven architectures, managing concurrency, and building fault-tolerant services (e.g., using Kafka, gRPC, REST).
• Data Fluency: Proficiency with Relational Databases (PostgreSQL) and experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) or search engines (Elasticsearch).
• Builder Mindset: A self-starter who thrives in ambiguity and is passionate about taking AI from "prototype" to "production-grade."

And Ideally:

• LLM Ops & Evaluation: Experience designing frameworks to evaluate agent performance (accuracy, latency, cost) and implementing CI/CD for AI workflows.
• Cloud Native: Experience deploying and scaling services in AWS using Docker and Kubernetes.
• Graph & Search: Familiarity with Knowledge Graphs or advanced search algorithms to improve agent reasoning.
• Security Context: Understanding of cybersecurity concepts (vulnerability management, cloud security) is a plus, but not required if you are a strong systems engineer.

#LI-LP1

We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to bridge the gap between advanced research and production-grade ML systems. You will be a key technical leader and partner to our Research Scientists, driving the evolution of our AI algorithms through rigorous data science methodologies, strategic data curation, and cross-functional leadership.

Job Responsibilities:

• Vision & Cross-Functional Leadership: Engage with cross-functional teams (Product, Research, Engineering, and Process Engineering) and help guide the overarching vision for data analysis, curation, and annotation to improve our AI models. Drive the definition of algorithm and data requirements necessary to deliver on end-point objectives.
• Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable multiple, large-scale annotation campaigns for continuous AI product improvements. Spearhead the strategic design of data campaigns needed to advance AI algorithms.
• Advanced Data Curation & Management: Develop comprehensive data curation strategies for improvements to AI models. Partner with MLOps to architect data management systems for algorithm training and performance validation, and establish data dashboards and monitoring reports.
• Performance Evaluation and Statistical Analysis: Establish frameworks and develop tools to rigorously evaluate the strengths and weaknesses of model iterations across patient populations. Design and oversee data analyses using statistical techniques to illuminate the performance of our AI algorithms.

Required Qualifications:  

• Education: Masters or PhD Degree in Engineering, Computer Science, Statistics, Data Science or related degree.
• Work Experience: 7+ years (or 5+ with PhD) of proven track record in Data Science, Machine Learning, Computer Vision, or Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI problems in medical imaging or computer vision requiring careful consideration of data needs.
• Software: Proficient in Python, including statistical and machine learning packages (e.g. scipy, sklearn, statsmodels, seaborn) with a commitment to writing clean, reproducible and scalable code. Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like 3DSlicer and MITK, a plus.
• Statistics: Understanding of standard statistical techniques and ability to apply appropriate statistical methods to a range of data structures; experience with medical imaging data a plus.
• Data Management: Experience working with data lakes, SQL/No SQL Databases, AWS Cloud Storage, Tableau dashboards.
• AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred.
• (Preferred) Proficiency in Agentic AI Tools: Experience integrating generative AI and agentic tools into daily workflows to act as a force multiplier—accelerating coding, prototyping, and complex data analysis—while demonstrating the critical judgment required to rigorously evaluate AI outputs for accuracy.
• Communication: Excellent written and verbal communication. Detail orientated but able to describe complex topics in a manner that is digestible to a broad audience. Ability to distill complex analyses into interpretable and actionable findings.
• Commitment: Committed to the success of the team and successful completion of project - 75% confidence / 100% committed.
• Influence without Authority: Able to build trust and obtain cross-functional alignment across departments.

A reasonable estimate of the base salary compensation range is $220,000 to $280,000, bonus, and equity. #LI-IB1 #LI-Hybrid

The Sales Specialist is responsible for tracking and managing orders, verifying pricing, working with Logistics.  Monitor accounts receivable, process RMA’s, sample requests and create invoices for certain accounts as needed and resolve issues.

What You’ll Do

• Support Sales Representatives, HQ and customers-answer questions, resolve issues.
• Track and manage product owed to customers, including expediting orders, verifying pricing, working with warehouse to ensure product is shipped quickly and efficiently to customers.
• Monitor accounts receivable and resolve credit issues with customers and Samsung’s credit department.
• Aggregate customer and sales forecast; enter data into the Demand Planning system
• Monitor and process all RMA requests and discrepant returns.     
• Manage sample request.     
• Create, enter and invoice customer orders through SAP
• Prepare and provide reports to management

Location: Daily onsite presence at our San Diego, CA office/headquarters in alignment with our Flexible Work policy
Reports to: Associate Manager, Sales Administration 

What You Bring

• BA degree
• Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals
• Ability to calculate figures and amounts
• Resourceful Achiever: self-driven and proactive, you apply logic and reason to effectively solve problems and manage risks.
• Avid Learner: you eagerly take on new challenges and seek out opportunities to grow and stretch.
• Passionate Owner: you are energized by your work, taking ownership and delivering results without ego.
• Committed Collaborator: with a positive attitude and commitment to get to the best result, you welcome ideas from others and drive processes forward in an inclusive manner.

Preferred Skills & Experience

• BA degree or experience in Sales , detail oriented, communication skills
• Proficiency in Microsoft Excel, Outlook, and Powerpoint

#LI-KS1

Senior, CPU Architecture & Performance Research Engineer

What You’ll Do

Architecture Research Lab is  seeking Senior CPU Architecture & Performance Engineer to contribute to performance analysis and microarchitectural optimization of current and next-generation CPU (RISC-V) cores. This role emphasizes hands-on analysis, modeling, and close collaboration with architects and design teams to improve performance across real-world workloads.

You will focus on executing well-defined performance studies, identifying bottlenecks, and helping translate architectural ideas into measurable performance gains

 Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42851

• Perform performance analysis for CPU microarchitectural features under guidance from Staff and Principal engineers.
• Run architectural simulations and analyze results (IPC, CPI stacks, latency and throughput metrics).
• Identify performance bottlenecks in frontend, execution engine, or memory subsystems.
• Assist in evaluating design trade-offs using trace-driven or cycle-accurate models.
• Characterize workloads and benchmarks (SPEC, server, client, internal traces).
• Develop scripts and tools to automate performance analysis.
• Work leading to patents and publication.

What You Bring

• Master’s, or PhD in Computer Engineering, Computer Science, or related field.
• 2+ years of experience in CPU microarchitecture and/or performance engineering.
• Strong understanding of:
• Out-of-order execution, branch prediction, pipelines, and speculation
• Cache coherence, memory systems, prefetching, and NUMA effects
• Hands-on experience with architectural simulators (like gem5).
• Strong programming skills in C/C++ and Python.
• Experience analyzing large performance datasets and traces.
• Familiarity with compiler optimizations and hardware/software co-design.

Preferred Qualifications

• Experience with RISC-V, ARM or X86 architectures.
• Background in power/performance/area (PPA) trade-off analysis.
• Familiarity with SIMD / Vectors / VME for AI inference workloads.
• Prior tapeout / patent / publication experience. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

What You’ll Do

We are looking for a passionate and experienced Staff Engineer, SRAM Circuit Design  to lead the development of next-generation SRAM solutions. In this position, you will drive end-to-end design of high-performance, low-power memory circuits used in cutting-edge semiconductor products. Your work will directly influence the power, performance, and area (PPA) efficiency of future computing, mobile, and AI platforms.

This role combines deep technical expertise with strategic team leadership, offering the opportunity to innovate at the forefront of semiconductor design.

• Design and develop SRAM memory arrays, including bit cells, sense amplifiers, decoders and control circuits for advanced process nodes (e.g., 2nm, 3nm and 5nm).
• Optimize SRAM designs for performance, power and area (PPA) and yield.
• Develop custom layouts and perform physical design verifications (e.g., DRC, LVS).
• Evaluate trade-offs between speed, power, and area to meet design targets.
• Develop and improve SRAM design methodologies, including automation scripts for design, simulation, and verification.
• Work with product and test engineers to develop test plans and support silicon bring-up.
• Mentor Junior engineers, providing guidance on SRAM design techniques and best practices.
• Perform extensive circuit simulations using tools like HSPICE, finesim or cadence Spectre to validate SRAM functionality and performance.
• Contribute to patents, technical papers, or industry conferences to advance SRAM technology.

What You Bring

• Bachelor's degree in electrical engineering with 10+ years of industry experience or master's degree in electrical engineering with 8+ years of experience strongly preferred. 
•  Prior experience in SRAM or memory circuit design, with a proven track record of delivering SRAM designs in advanced process nodes.
• Strong understanding of semiconductor devices physics and process technology (FinFET, GAA, SOI, etc.).
• Expertise in SRAM architecture, including bitcells, sense amplifiers, write drivers, and read/write control paths.
• Familiarity with timing analysis, power analysis, and design for manufacturability (DFM).
• Proficiency in circuit simulation, variation analysis, and design tools such as Spectre, HSPICE, Cadence Virtuoso, etc.
• Knowledge of scripting languages (e.g., Python, Perl, TCL) for automation of design tasks.
• Strong cross-functional collaboration and communication skills for working with design, layout, verification, and technology development teams.
• Experience with advanced technology nodes (e.g., 5nm, 3nm, or beyond).
• Knowledge of SRAM compiler development and experience with low-power SRAM design techniques (e.g., power gating, voltage scaling).
• Background in silicon debug and root-cause analysis.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change. 

#LI-SF1

Samsung Semiconductor Foundry team is hiring for Director of Sales Systems & Enablement which will be responsible for the strategic direction, implementation, and ongoing support of the sales technology stack, with a central focus on Salesforce. This role will drive sales productivity by ensuring the sales team has the tools, data, and training necessary to maximize their effectiveness

Location: Daily onsite presence at our San Jose, CA headquarters in alignment with our Flexible Work policy

Req: 42861

What You’ll Do

• Salesforce Administration & Integration: Oversee the administration, configuration, and integration of Salesforce with other key sales and marketing systems.
• Sales Technology Evaluation: Research, evaluate, and recommend new sales technologies to improve sales processes and performance.
• Automation & Workflow Development: Design and implement automated workflows within Salesforce and other sales tools to streamline sales activities.
• Data Management & Reporting: Ensure data accuracy and consistency across all sales systems. Develop and maintain robust reporting dashboards.
• Sales Enablement Program Development: Create and deliver sales enablement programs focused on product knowledge, sales skills, and tool proficiency.
• User Support & Training: Provide ongoing support and training to the sales team on all sales systems and tools.
• Collaboration with IT: Work closely with the IT department to ensure the stability and security of the sales technology infrastructure.
• Troubleshoot and resolve database issues and bugs

What You Bring

• Bachelor’s degree in Engineering, Information Technology, or Business or equivalent practical experience with 20+ years or a Master’s with 18+ years.
• 7+ years of experience in Sales Operations or a comparable role with a strong technical focus.
• Extensive experience with administering and customizing Salesforce.
• Proven track record integrating Salesforce with other sales and marketing tools.
• Strong understanding of sales processes and best practices.
• Excellent communication and training skills.
• Salesforce certifications preferred, such as Administrator or Developer.
• Experience with data science tools, (e.g. Python, R)
• Experience with on-premise database management and warehousing.
• Korean language is a plus.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-KS1

What You’ll Do

As the Director of Product Marketing for North America, you will be the strategic lead for Samsung’s most advanced memory solutions in the region. You will manage a high-performing team to drive the commercial success of High Bandwidth Memory (HBM) and Graphics Memory, acting as the critical link between North American market requirements and global product roadmaps.

This role sits at the intersection of AI infrastructure, hyperscale data centers, and next-generation graphics, shaping how cutting-edge memory technologies power the future of computing.

• Team Leadership: Build, mentor, and scale a high-impact North America product marketing team, fostering a culture of accountability, innovation, and continuous growth.
• Roadmap Influence: Represent the voice of the North American customer to global engineering and product teams; translate market signals, customer requirements, and competitive insights into clear, actionable inputs for product roadmap decisions.
• Regional Strategy: Define and execute the North American strategy across AI/ML, cloud, and gaming segments—ensuring alignment with global priorities while maximizing regional growth opportunities.
• Market Intelligence: Develop robust TAM forecasts, monitor Silicon Valley and broader industry trends, and deliver actionable competitive analysis to inform strategic decisions.

Sales Enablement & Business Development

• Design Win Leadership: Partner with Sales, FAEs, and engineering teams to identify opportunities, guide design-in cycles, and secure strategic design wins with key North American customers.
• Customer & Field Enablement: Lead the creation of compelling, technically credible marketing content and deliver high-impact training to sales teams and Tier-1 customers.
• Thought Leadership: Act as a visible industry leader and evangelist, representing the company at executive briefings, industry events, and key customer engagements.

 Execution & Cross-Functional Alignment

• Go-to-Market Excellence: Develop and execute regional GTM strategies, including product positioning, pricing frameworks, and launch plans tailored to the North American ecosystem.
• Global Collaboration: Operate effectively across regions and time zones - particularly with headquarters in Korea - to align regional demand with global supply, ensuring seamless execution and clear communication between stakeholders.

What You Bring

• Education: Bachelor’s degree required (Electrical Engineering or Computer Science preferred); MBA highly preferred.
• Experience: 15+ years in product or strategic marketing within semiconductors, graphics, gaming, or data center infrastructure.
• Leadership: proven success leading high-performing teams in fast-paced, technically complex environments.
• Domain Expertise: deep understanding of HBM, GDDR, and memory architectures, along with strong knowledge of AI hardware, GPUs, and hyperscale data center trends.
• Strategic Impact: Demonstrated ability to influence global product direction through data-driven insights and well-structured business cases.
• Analytical Strength: advanced proficiency in Excel and PowerPoint, with the ability to distill complex technical and financial data into executive-level narratives.
• Travel: willingness to travel domestically (~20%) and periodically internationally.

Additional Preferred Qualifications

•  Cross-Cultural Fluency: Experience working with Korea-based teams or within a Korean corporate environment.
• Language Skills: Familiarity with Korean language is a plus
• Cultural Agility: Demonstrated ability to navigate cross-cultural communication styles and decision-making processes in a global organization.

 The Ideal Candidate

• Strategic Operator: combines big-picture thinking with disciplined execution; anticipates risks and acts decisively.
• Curious Technologist: continuously learning and staying ahead of trends in AI, accelerated computing, and emerging memory architectures.
• Accountable Leader: takes full ownership of outcomes, operates with urgency, and delivers results without ego.
• Collaborative Influencer: builds trust across global teams, communicates with clarity, and elevates both team performance and organizational alignment.

 #LI-KS1

Job Title: Principal Engineer, AI System Architect (Hardware)

 What You’ll Do
The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a Technical Lead role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42852

• • Technically Lead the architecture team with strong  direction, shaping system‑architecture strategy and advancing key innovations
  • Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems.
• Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale. 
• Analyze representative and emerging AI workloads (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power.  
• Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections. 
• Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices. 
• Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities.  
• Communicate architectural insights and recommendations through clear technical presentations and documentation.   
• Occasional domestic and international travel (<10%).

 What You Bring

• Ph.D. in Computer Science, Electrical Engineering, or a related field preferred,  with 15+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads 
• Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation. 
• Deep understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects.
• Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems.
• Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions.
• Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation. 
• Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams.
• A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

Principal, CPU Architecture & Performance Research Engineer

What You’ll Do

Architecture Research Lab is seeking Principal CPU Architecture & Performance Engineer to lead the definition, analysis, and optimization of next-generation CPU microarchitectures (RISC-V core). This role is focused on end-to-end performance: from architectural trade-offs and workload characterization to micro-architectural modeling, simulation, and silicon bring-up correlation.

You will work closely with architecture, design, compiler, and system teams to drive performance and efficiency across a broad set of real-world workloads

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42918

• Define and evaluate CPU micro-architectural features for future cores (frontend, execution engine, memory hierarchy, interconnect).
• Lead performance analysis using simulators, RTL.
• Help develop and validate performance models (cycle-accurate, trace-driven, statistical).
• Characterize workloads (SPEC, server, client, AI/ML, cloud, internal traces) and translate findings into architectural requirements.
• Identify performance bottlenecks and propose data-driven optimizations.
• Drive architecture-to-implementation alignment with design team.
• Collaborate with compiler, OS, and system architects on cross-stack performance issues.
• Mentor senior and staff engineers; provide technical leadership across projects.
• Work leading to patents and publication

What You Bring

• Master’s with 18+ years of experience in Computer Engineering, Computer Science, or related field.
•  or PhD with 15+ years of experience preferred.
• 10+ years of experience in CPU microarchitecture and/or performance engineering.
• Experience with RISC-V, ARM or X86 architectures.
• Strong understanding of:
• Out-of-order execution, branch prediction, pipelines, and speculation
• Cache coherence, memory systems, prefetching, and NUMA effects
• Hands-on experience with architectural simulators (like gem5).
• Strong programming skills in C/C++ and Python.
• Familiarity with compiler optimizations and hardware/software co-design.
• Familiarity with SIMD / Vectors / VME for AI inference workloads.
• Experience analyzing large performance datasets and traces.
• Proven ability (Tapeout / Patents /Publications) to influence architecture / micro architectural decisions through quantitative analysis.

Preferred Qualifications

• Background in power/performance/area (PPA) trade-off analysis.
• Experience with SIMD/Vectors.
• Experience with compiler optimizations and hardware/software co-design.
• Prior technical leadership at Senior Staff or Principal level. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

Samsung Semiconductor is hiring now for a Staff Engineer, Memory Systems Architecture.  The conventional DRAM failure analysis was physical electrical FA and physical FA. But, in the era of Data center, it is easier to track the field failure information. With this data set, Fault management team’s role is finding DRAM failure mode, abnormality and failure rate projection.

You will be part of an incubation team working on in-field telemetry intended to transform the Customer Quality Experience for Samsung memory products. Fault Management is the future of quality to minimize system downtime within AI/ML hardware deployments and workloads of the future. We analyze trends and patterns from enormous memory fleet telemetry to bucketize failures and perform virtual root-cause analysis. Telemetry analysis helps us design solutions to proactively avoid system downtime. We conduct research and develop both in-house and collaboratively in the industry with the opportunity to publish our findings through whitepapers and conferences. We are looking for innovative and passionate thinkers who can work in a start-up environment and are excited to shape the future of data centers around the world. Join us in our mission!

What You'll Do

• Based on the knowledge of SOC controller and memory operation including RAS feature, find and recommends better solution to mitigate the field DRAM failure rate.
• Needs to communicate better ECC scheme to customers based on Samsung DRAM failure mode(DQ and burst)
• Interface with customers to establish the value add of enabling in-field fault management architecture
• Contribute to the standardization of DRAM/HBM failure logging in the OCP.
• Propose and develop platform RAS (Reliability Availability Serviceability) algorithms for memory fault management such as page offlining, hPPR and conduct POC with known failure DIMMs in the real server and application.

Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work Policy.

Job ID: 42886

 What You Bring

• Bachelor’s degree with 10+ years of relevant industry experience, or Master’s with 8+ years or PhD with 5+ years hardware fault management, reliability, data center fleet management experience or related technical field preferred. (Must)
• Knowledge of platform memory subsystem, platform RAS (Reliability Availability Serviceability) such as ECC, page offlining, hPPR and hardware sparing.
• ECC design and verification and reverse engineering experience.
• Understanding on the address mapping between CPU and memory.
• Memory controller register modification.
• Linux kernel commit experience.
• DRAM and HBM failure mode understanding.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-MD1

What You’ll Do

We are seeking an RTL engineer to develop high-fidelity, advanced IP-level power macromodels for AI computing memory component IPs. The role focuses on translating RTL/SystemC/C behavior into time-indexed, input-dependent power models.

Location: Daily onsite presence at our San Jose, CA office in alignment with our Flexible Work policy

Reports to: SVP, R&D (Power & Thermal Lab)

• Develop high-fidelity, advanced RTL- SystemC-, and C-based power macromodels for AI memory component IPs using analytical modeling, LUT, FSM, NN, and their hybrid.
• Extract activity-, value-, and state-dependent power features from C/SystemC/RTL simulations.
• Define power-relevant functional states (transaction/state-based abstraction).
• Support trace-driven power modeling, aligned with C/SystemC workload traces.
• Perform synthesis-assisted calibration using average and worst-case power anchors when available.
• Validate macromodel accuracy against reference RTL/gate-level results and real-silicon data when available.
• Collaborate with software engineers on feature semantics, timing alignment, and model interfaces.
• Contribute to scalable IP-wise composition for full-system power simulation.

What You Bring

• Bachelors degree 20+ years of experience or Masters degree 18+ years of experience.
• Strong RTL design, synthesis and analysis experience (Verilog/SystemVerilog/SystemC).
• Solid understanding of dynamic and leakage power mechanisms in CMOS and interconnects.
• Hands-on experience with logic synthesis and power analysis tools, including VCS, VC Formal, Design Compiler, PrimeTime-PX, StarRC, PowerArtist, Verdi, etc.
• Hands-on experience with power modeling in academia, including McPAT, CACTI, Wattch, etc. and industry tools such as Synopsys Platform Architect.
• Familiarity with SystemC or transaction-level modeling.
• Ability to abstract RTL behavior into compact analytical, table-based, FSM-based, and AL/ML models.
• Knowledge of power macromodeling, power estimation flows, or architectural power analysis.

Preferred Qualifications

• Experience with GPU, computer architecture, AI memory, memory controllers, PHYs, or high-speed I/O.
• Knowledge of cross-coupling capacitance, clock power modeling, and power and signal integrity.
• Exposure to low-power design and thermal management.
• Exposure to power macromodeling, power estimation flows, or architectural power analysis.

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

We are looking for a Senior Engineer, RTL Memory Centric Computing.  This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop IP for memory centric computing systems using Verilog, System Verilog and HLS
• Optimize the IP for performance, power, and area by leveraging advanced design techniques such as pipelining, parallelism, and data compression.
• Collaborate with Verification engineers to design and develop test plans
• Make design decisions out of a large design trade-off space across performance, power, thermal, and cost.
• Troubleshoot and debug hardware issues and ensure the quality of the design through verification and validation.
• Stay up-to-date with the latest advancements in machine learning and hardware architecture and contribute to the development of new technologies.
• Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 15+ years, or Master’s with 13+ years, or PhD's with 10+ years of industry experience.
• Strong background in microarchitecture and computer architecture
• 5+ years of experience in front-end design methodology involving RTL development for complex control and data path IPs
• Experience in designing Memory Controller, NOC, Interconnect IP
• Experience in Memory Centric computing IP and  SOC integration
• Experience in AI/ML workloads.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change

#LI-VL1

The SoC Architect will serve as a key technical leader, translating client requirements into an optimal SoC blueprint that achieves aggressive PPA (Power, Performance, Area) targets and driving its successful implementation.  This role will be a critical leader who provides the technical blueprint that ultimately realizes our clients' business objectives and should have a deep understanding of the complexities of custom SoC development and the ability to leverage broad system knowledge to create innovative solutions.

Location:  Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work Policy with an average of 20% travel per month.

Reports to: Team leader/Head of Custom SoC Solutions Team

What You’ll Do

Customer Requirement Definition and Architecture Design:

• Analyze and define the functional, performance, and power requirements based on the client's end product and application (e.g., mobile, edge device, data center or physical AI).
• Conceive and specify the Top-Level SoC Architecture and Microarchitecture, including CPU/GPU/NPU cores, memory subsystem, Interconnect (Coherent/Non-Coherent Fabric), and high-speed I/O interfaces (e.g., PCIe, UALink or ESUN).

Architecture Exploration and Validation:

• Evaluate various architectural trade-offs and validate architectural decisions using performance and power modeling (C/C++, SystemC).
• Provide technical guidance on IP selection, integration, and system optimization, and define the Design for Debug/Test/Excellence (DFx) strategy.

Technical Collaboration and Leadership:

• Collaborate closely with cross-functional teams (HW Design, Verification, Physical Design, Software) to ensure architectural specifications are accurately translated into the design and implementation phases.
• Identify and resolve technical risks throughout the project lifecycle, and lead technical communication with clients and

 What You Bring

• Bachelor’s Degree in Electrical Engineering, Computer Science, or related discipline and 10+ years of experience, or Master’s and 8+ years of experience. 
• 5+ years experience in SoC Architecture or System Engineering (experience in custom ASIC/SoC projects is a plus)
• Deep understanding of Computer Architecture and SoC Design (including CPU, GPU, Accelerators, Caches, and Memory Systems).
• Expert knowledge and design experience with on-chip interconnects (e.g., AMBA AXI/CHI) and High-Speed Interface protocols.
• In-depth knowledge of Power Management and low-power design techniques.
• Experience with SoC-level Clock, Reset, and Power Domain architecture.
• Comprehensive understanding of the overall RTL design and SoC design flow (Implementation & Verification).
• Excellent problem-solving skills to independently identify, analyze, and resolve complex technical issues.
• Ability to communicate and negotiate effectively with diverse stakeholders, including hardware and software engineering teams, managements, and clients.
• Proficiency in scripting languages such as Python/Perl
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-VL1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

We are looking for a Senior Engineer, RTL Memory Centric Computing.  This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop IP for memory centric computing systems using Verilog, System Verilog and HLS
• Optimize the IP for performance, power, and area by leveraging advanced design techniques such as pipelining, parallelism, and data compression.
• Collaborate with Verification engineers to design and develop test plans
• Make design decisions out of a large design trade-off space across performance, power, thermal, and cost.
• Troubleshoot and debug hardware issues and ensure the quality of the design through verification and validation.
• Stay up-to-date with the latest advancements in machine learning and hardware architecture and contribute to the development of new technologies.
• Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• Strong background in microarchitecture and computer architecture
• 5+ years of experience in front-end design methodology involving RTL development for complex control and data path IPs
• Experience in designing Memory Controller, NOC, Interconnect IP
• Experience in Memory Centric computing IP and  SOC integration
• Experience in AI/ML workloads.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change

#LI-VL1

What You’ll Do

We are looking for a passionate and experienced Staff Engineer, SRAM Layout to lead the development of next-generation SRAM solutions.

• Lead the development and execution of full-custom SRAM memory layout and sign-off verification flows (including compiler automation where applicable).
• Collaborate closely with circuit designers to translate schematics into efficient, high-performance physical layouts, own floor planning, placement, routing, and tape-out.
• Design and optimize SRAM layouts at the cell, array, and peripheral levels for area, speed, power, yield, and manufacturability.
• Perform and close all physical verification; DRC, LVS, ERC, antenna checks, custom memory rules, RC extraction, parasitic analysis, and signal integrity verification.
• Debug and resolve layout issues efficiently, including process-specific challenges in advanced nodes.
• Lead layout reviews, mentor junior engineers, and drive best practices, optimization techniques, design-rule compliance, and knowledge sharing.
• Develop automation scripts (Perl, Tcl, SKILL, etc.) to improve productivity.
• Address reliability concerns such as EM/IR drop, soft errors, and process variability. 
• Work cross-functionally with circuit, architecture, verification, and foundry/process teams to ensure first-pass silicon success and support product integration

What You Bring

• Bachelor's degree with 10+ years of experience in custom SRAM, memory compiler and IC physical layout design or master's degree 8+ years of experience strongly preferred. 
• 3 year’s experience in leadership of management role preferred.
• Extensive experience in SRAM layout design in advanced process nodes (e.g., 3nm, 2nm, or below).
• Demonstrated ability to lead, mentor, and manage a team of layout engineers. 
• Strong project management skills to handle complex schedules and cross-functional collaboration. 
• Strong proficiency with industry-standard EDA tools: 
• Candence Virtuoso (or Custom Compiler/IC Compiler) for custom/analog layout. 
• Physical verification tools for DRC/LVS/ERC flows. 
• Perform and close all physical verification; DRC, LVS, ERC, antenna checks, custom memory rules, RC extraction, parasitic analysis, and signal integrity verification. 
• Experience with RC extraction, parasitic reduction, and memory-specific verification. 
• Scripting/automation skills (Perl, Tcl, SKILL, etc.) are highly valued. 
• Proven ability to drive layout quality, constraints, and closure while collaborating in global, cross -functional teams. 
• Prior work on high-speed, low-power SRAM in leading-edge nodes preferred. 
• Mentoring or technical leadership experience preferred. 
• Understanding of SRAM architecture, timing, power analysis, and yield optimization preferred. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change

#LI-SF1

Job Title: Staff Engineer, AI System Architect (Hardware)

What You’ll Do
The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Senior Staff AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42917

• Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems.
  • Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale.
  • Analyze representative and emerging AI workloads (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power.
  • Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections.
  • Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices.
  • Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities.
  • Communicate architectural insights and recommendations through clear technical presentations and documentation.
  • Occasional domestic and international travel (<10%).

 What You Bring

• Ph.D. in Computer Science, Electrical Engineering, or a related field, with 5+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads.
  • Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation.
  • Deep understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects.
  • Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems.
  • Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions.
  • Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation.
  • Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams.
  • A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges.  
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build.
• Understanding. You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 

#LI-SF1

Samsung Semiconductor is hiring now for a Senior CIS Application Engineer.  You will join a dynamic team focused on developing and validating cutting-edge CMOS Image Sensor (CIS) technologies and the complete imaging pipeline they power. Your expanded role will involve not just sensor characterization, but also establishing objective and subjective image quality standards. You’ll collaborate across design, process and product engineering to ensure that CIS devices meet stringent technical specifications and exceed end-user visual expectations across the entire system. This position offers opportunities to define holistic test methodologies and drive product innovation in advanced imaging systems.

What You'll Do

• Establish objective evaluation criteria and subjective perceptual measurement methodologies for the full imaging system (CIS devices, PKG, modules, and ISP output) under dark and light conditions.
• Conduct detailed characterization and performance analysis.
• Analyze test results to identify trends, anomalies, and potential root causes of image performance issues, spanning hardware defects to ISP.
• Work closely with design and process team to provide feedback and propose improvements for image sensor and overall system performance.
• Develop and automate test flows for consistent and efficient evaluation using standard programming languages and specialized IQV software tools (e.g., Imatest).
• Ensure compliance with relevant industry image quality standards.
• Communicate results effectively to cross-functional teams and management stakeholders.
• Act as the primary technical contact person for customers, addressing their technical questions and concerns.
• Serve as a bridge between the customer and internal engineering/product development teams, conveying customer feedback and advocating for necessary fixes or improvements.
• Diagnose and resolve complex technical issues promptly, often involving embedded hardware and software debugging in camera systems.

Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work Policy.

Job ID: 42887

 What You Bring

• Bachelor’s degree in Electrical Engineering, Physics, Optics, or related field with 5+ years of relevant industry experience, or Master’s with 3+ years or PhD with 0+ years of experience.
• Strong understanding of CIS operation principles, including pixel, readout chain, ADC behavior, and the full imaging pipeline (Optics, Sensor, ISP).
• Hands-on experience with image sensor characterization, test system operation, and standardized image quality lab environments (light booths, test charts).
• Knowledge of optical measurement techniques and evaluation under both dark and illuminated conditions.
• Proficiency in data analysis tools such as Python, MATLAB, or similar platforms, ideally paired with experience using professional IQV software like Imatest.
• Familiarity with industry standards for objective image quality measurement.
• Excellent analytical, problem-solving, and communication skills.
• A proactive mindset and strong attention to detail when working in cross-functional environments.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-MD1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop the verification infrastructure and automation environment involved in build, simulation, regression and triages.
• Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers.
• Create direct or random testbench, define verification scope and test plans for both functional and performance validation, close the verification quality metrics.
• Provide comprehensive documentation of verification strategy and ensure test environment is easy to use.
• Mentor junior engineers when necessary
• Work cross-functionally in debugging failures with design, compiler and simulation engineers

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• Strong background in SoC or IP verification and test bench development using UVM, System Verilog, C/C++ and scripting languages such as Perl/Python.
• Experience verifying at multiple levels of logic from scratch, starting from complex IP blocks to dies to SoCs to full system testing
• Understanding RTL and strong overall debugging skills
• Prior experience with computational logic, interconnect networks and/or memory system is desirable
• Strong background in microarchitecture and computer architecture preferably in the area of AI accelerators
• Knowledge of FPGA and emulation platforms preferred
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.

#LI-VL1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Our team works hands-on with cutting-edge accelerator hardware, experimental memory systems, and emerging domain-specific languages (DSLs). We build and optimize a Triton-based software stack that pushes the limits of performance, efficiency, and scalability for modern LLM workloads.

We are looking for a Senior AI Systems Engineer with deep experience in high performance Triton kernel development on modern accelerators. In this role, you will design, analyze, and optimize performance-critical kernels used in large scale LLM inference and training pipelines. You will work closely with hardware architects, compiler engineers, and ML researchers to identify performance bottlenecks, interpret profiling data, and co-design solutions that span software and hardware boundaries.

This role is ideal for engineers who enjoy working close to the hardware stack while still reasoning deeply about model level abstractions.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Design, implement, and optimize high-performance Triton kernels for LLM workloads on existing accelerators.
• Analyze kernel performance using profiling tools; interpret metrics such as latency, throughput, occupancy, memory bandwidth, and compute utilization.
• Identify performance bottlenecks in kernel design (e.g., memory access patterns, synchronization, tiling strategies) and propose concrete optimizations.
• Work across the stack; from model architecture to kernel implementation—to ensure end-to-end performance efficiency.
• Collaborate with hardware and compiler teams on hardware–software co-design, providing feedback that influences future accelerator and DSL designs.
• Prototype and evaluate kernel optimizations using upcoming DSLs and experimental compiler flows.
• Contribute to the evolution of a Triton-based software stack used for cutting-edge research and production-grade experimentation.
• Document design decisions, performance trade-offs, and optimization strategies clearly for internal and external stakeholders.

What You Bring

• Bachelor’s with 5+ years, or Master’s with 3+ years, or PhD's with 0+ years of industry experience.
• Strong experience writing high-performance Triton kernels for GPUs or other accelerators.
• Solid understanding of LLM fundamentals, including attention mechanisms, transformer architectures, and inference/training workflows.
• Deep knowledge of accelerator hardware architecture, including:  Memory hierarchies (HBM, SRAM, caches).
• Proven ability to read and interpret profiling data and performance counters.
• Experience diagnosing and resolving performance bottlenecks in kernel-level code.
• Strong systems programming skills in Python and low-level performance-oriented programming paradigms.
• Experience with hardware–software co-design or compiler-assisted optimization.
• Familiarity with FlashAttention, fused kernels, MoE kernels, and different attention mechanisms.
• Experience working with emerging or experimental domain-specific languages (DSLs) for accelerator programming.
• Background in ML systems, compilers, or performance engineering.
• Prior experience working with different accelerator backends (including but not limited to CUDA).
• Opportunity to work on cutting-edge accelerator hardware and experimental software stacks.
• Direct impact on the performance and design of next-generation AI systems.
• A highly collaborative environment spanning hardware, systems, and ML research.
• Flexibility to publish, prototype, and influence future hardware and software directions.
• Ability to work effectively in cross-functional, research-oriented environments.
• Strong analytical and problem-solving skills.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-VL1

Staff, CPU Architecture & Performance Research Engineer

What You’ll Do

Architecture Research Lab  is looking for  Staff CPU Architecture & Performance Engineer to drive detailed performance analysis and architectural optimization for current and next-generation CPU (RISC-V) cores. This role focuses on deep ownership of performance-critical micro-architectural domains, workload analysis, and data-driven recommendations that influence core architecture decisions.

You will work closely with architects, design, compiler, and system teams to evaluate trade-offs, identify bottlenecks, and improve performance across real-world workloads

 Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42850

• Own performance analysis for one or more CPU microarchitectural domains (e.g., frontend, execution engine, memory subsystem).
• Build, extend, and validate architectural performance models and simulators.
• Perform CPI/IPC breakdowns and root-cause performance bottlenecks.
• Evaluate microarchitectural features and optimizations using trace-driven, analytical, and cycle-accurate models.
• Characterize workloads and benchmarks (SPEC, server, client, AI/ML, internal traces).
• Translate performance data into clear architectural recommendations.
• Work leading to patents and publication.

What You Bring

• Master’s in Computer Engineering, Computer Science or related filed with 8+ years of experience or PhD in Computer Engineering, Computer Science, or related field with 5+ years of experience.
• 5+ years of experience in CPU microarchitecture and/or performance engineering.
• Experience with RISC-V, ARM or X86 architectures.
• Strong understanding of:
• Out-of-order execution, branch prediction, pipelines, and speculation
• Cache coherence, memory systems, prefetching, and NUMA effects
• Hands-on experience with architectural simulators (like gem5).
• Strong programming skills in C/C++ and Python.
• Experience analyzing large performance datasets and traces.
• Familiarity with compiler optimizations and hardware/software co-design..
• Proven ability - prior tapeout experience.

Preferred Qualifications

• Background in power/performance/area (PPA) trade-off analysis.
• Experience / Familiarity with SIMD / Vectors / VME for AI inference workloads..
• Prior  leadership guiding junior engineers.
• Prior patent / publication experience. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

We are seeking a Technical Marketing Senior Manager to join our System LSI - Custom SoC Sales and Business Development Team in San Jose, CA.  In this role, you will be responsible for identifying new opportunities for custom SoC (ASIC) business, conducting pre-shaping activities including technical requirements review and commercial discussions with potential customers, and building relationships with customers across the US market. This customer-facing role is highly cross-functional, where you will also manage day-to-day account management activities on both the technical and business sides with internal and external teams. We are seeking a high- energy professional with strong communication skills towards internal stakeholders and customers, as well as the ability to lead and develop new processes and ideas.  The successful candidate will thrive in a fast-paced, dynamic environment and be able to develop strategic relationships with customer teams. 

Location:  Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work Policy

Job ID: 42912

What You’ll Do

• Support the design-in activities and business operations by working with cross-functional teams across Engineering, Sales and Marketing teams to secure customer engagements.
• Act as local support interface for US customers for existing accounts and ongoing programs.
• Engage in engineering & commercial discussions with customers.
• Market survey and developing new customers and applications.
• Act as local POC for engineering/commercial VOC collecting and leading issue resolving by circling back internally with right internal POC.
• On-going and future projects reporting to both US and Korea Executives.
• Build relationships with internal stakeholder teams such as Marketing, Sales, Product Planning and development teams to know and understand S.LSI’s differentiated offerings and strategies.
• Work with customer teams to map their requirements to S.LSI offerings, identify potential gaps, and champion their cause by driving internal development teams to address their needs and deliver technical solutions.
• Develop and build relationships with customers’ teams to understand their technology needs, application requirements and jointly define the best silicon/platform solutions to enable customer’s products.

What You Bring

• Highly Technical Background with deep business acumen and the ability to synthesize technical and business information into clear, compelling executive-level presentations that influence internal and external stakeholders.
• Bachelor’s Degree in Engineering, Business, or related discipline and 10+ years of experience, or Master’s and 8+ years of experience. 
• Technical sales and/or Marketing experience, management experience, technical/customer program management, or field applications engineering experience.
• Both Pre and Post Sales Customer Support.
• Good understanding of Semiconductor Industry, especially in SoC (System on Chip).
• Understanding or past experience with ASIC design and manufacturing flow, including advanced packaging is a Plus.
• Ability to analyze customer’s problem and needs from the component to system and application level based on customer’s requirements and purpose the solution that maps out to Samsung LSI’s offering.
• Frequent work and meetings are required with Korea.
• Korean language proficiency is a plus but not required.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-MD1

As a Senior Memory Sales Manager, you will be responsible for driving revenue for memory (DRAM) and storage (NAND) products within an assigned strategic customer that is a leader in AI and compute solutions.

What You’ll Do

• Develop and execute business‑development strategies that drive revenue and market‑share growth.
• Lead direct sales engagements across multiple business units and subsidiaries at the customer, managing the full sales cycle from opportunity identification to sales closure.
• Coordinate marketing and market‑intelligence activities with the customer as an ecosystem partner.
• Partner with product management, engineering, and marketing to ensure solutions meet the customer’s technical roadmap and Samsung’s business objectives.
• Provide regular updates and executive‑level reports on customer engagements, pipeline health, market intelligence, and sales performance to senior Samsung leadership.
• Monitor memory market trends and competitive landscape at the customer; translate insights into actionable recommendations for internal teams.
• Identify and pursue new business opportunities that expand Samsung’s footprint and strategic importance within the customer organization.
• Travel domestically and internationally (including 1‑2 international trips per year) to conduct on‑site meetings, workshops, and executive briefings.

Location: Daily onsite presence at our Austin, Texas (primary) – Open to candidates in San Jose, CA. in alignment with our Flexible Work policy

Reports to: VP, Customer/Market Insights 

What You Bring

• Bachelor’s or Master’s degree in Sales, Marketing, or Engineering related field.
• 10+ years of direct sales experience with large, strategic customers (7+ years if holding a Master’s). Experience selling semiconductors, especially memory, storage, computing, or networking products preferred.
• Proven business‑development track record, demonstrating the ability to create and deliver growth strategies.
• Strong marketing‑intelligence capabilities: competitive analysis, TAM sizing, trend forecasting, and ecosystem partnership coordination.
• At least 5 years of experience in the memory or storage market (DRAM/NAND) preferred.
• Demonstrated ability to collaborate cross‑functionally with product, engineering, and marketing teams in a global environment.
• Excellent communication and presentation skills; comfortable delivering executive‑level updates.
• Willingness to travel (≈20% domestic) and undertake 1‑2 international trips each year.

#LI-KS1

Memory IO Lab is part of Samsung’s Memory Business Unit, the industry's all-time DRAM and NAND Flash leader both in technology as well as in volume. Memory IO’s vision is to provide memory interface technology solutions which can be adopted in DDR, LPDDR, GDDR, and more. We are an integral part of Samsung’s paramount R&D innovation engine. We work closely with cross-disciplinary development teams to bring feature innovation to product roadmaps.

Come and join the team that is providing the next generation IO tech solutions to support emerging machine learning applications, data analytics, and edge computing.

Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy

What You'll Do

• Hands on in analog circuit design, which includes circuit design, running simulations to confirm functionality and performance, and work with verification team to verify design. The mixed-signal designs will include but are not limited to the following: high-speed data converters, PLL, and SERDES.
• Guide layout floor-planning block and top level to optimize the overall performance; supervise the layout activities and give concise guidelines to layout engineers, need to be hands on in drawing layout if necessary.
• Ownership of circuit and system specifications.
• Simulate designs with state-of-the-art CAD tools.
• Document designs and simulation results.

What You Bring

• BS 10+ years experience, MS 8+years of experience, PhD 5+ years experience in Electrical Engineering, Computer Science preferred. 
• 5+ years of experience working with system on chip architecture, high-speed serial interfaces, analog and mixed-signal circuit designs using advanced CMOS technology nodes.
• Prior experience in design of any one of the standard high speed interfaces like DDR, LPDDR, , GDDR, HBM I/O interface.
• Needs to be an expert in providing and understanding layout requirements of high speed circuits.
• Knowledge of all facets of high speed I/O design but specifically should include DLL / PLL / FFE / CTLE / DFE, output drivers , ODT, Duty cycle correction (DCC), Training/calibration to improve timing, high speed power design and low power design.
• Experience working closely with device/process team to define transistor specs
• The ideal individual must have proven ability to achieve results in a fast moving, dynamic environment.
• Ability to troubleshoot and analyze complex problems.
• Excellent communication (written and verbal) and interpersonal skills
• Experience in high frequency clock distribution design, implementation, and analysis.
• Deep understanding of PPA (performance, power, and area) trade-offs.
• Ability to handle EDA tools well, such as Cadence, MATLAB (Simulink), and EM tools
• Experience on silicon bring-up and automatic measurement using script
• Strong scripting and automation skills using Tcl/Perl. Knowledge of Python is a plus.
• Self-motivated problem-solver with an ability to work well in a team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

Job Title: Principal Engineer, AI System Architect (Hardware)

The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a Technical Lead role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42852

What You’ll Do

• Technically Lead the architecture team with strong  direction, shaping system‑architecture strategy and advancing key innovations
• Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems.
• Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale. 
• Analyze representative and emerging system-level architectural research (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power.  
• Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections. 
• Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices. 
• Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities.  
• Communicate architectural insights and recommendations through clear technical presentations and documentation.   
• Occasional domestic and international travel (<10%).

 What You Bring

• Ph.D. in Computer Science, Electrical Engineering, or a related field preferred,  with 15+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads 
• Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation. 
• Deep understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects.
• Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems.
• Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions.
• Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation. 
• Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams.
• A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

Principal Engineer, SOC Design

What You’ll Do

The DRAM Development Lab (DDL) is part of Samsung’s Memory Business Unit, the industry's technology and volume leader in DRAM, HBM and NAND Flash.  DDL’s vision is to solve key problems of Cloud & Data center by developing the new technology for memory and storage. The SOC team within DDL focuses on the development of silicon solutions. We are an integral part of Samsung’s strong R&D focus & lab innovation engine. We work closely with development teams to bring feature innovation to product roadmaps.

Come join the team that is creating new computing system architectures needed to support emerging machine learning applications, data analytics and edge computing. You’ll focus on enhancement of memory and storage capability by developing prototype and production controllers.

Job ID:  42866

Location: Daily onsite presence at our San Jose or Folsom office in alignment with our Flexible Work policy

• Participate in architectural definitions and responsible for micro architecture of subsystem and/or chip level.
• Responsible for top integration, logic design and RTL implementation along with quality check (Assertion, Lint, CDC, and STA).
• Reviews 3^rd party IPs including ARM cores, DDR controller, and UCIe PHY 
• Responsible for integrating the third part IPs and sub system at top level
• Work closely with architects and verification engineers to ensure sound design at SoC level.
• Work with physical designers on timing constraints, synthesis, DFT insertion, and static timing analysis

What You Bring

• Bachelors in Electrical, Computer Science or related with 20+ years of experience or Masters in Electrical, Computer Science or related Science with 18+ years of Industry Experience or PhD in Electrical, Computer Science or related Science with 15+ years of Industry experience preferred.
• Highly motivated with good verbal and written communication skills.
• Hands on knowledge & experience in ASIC design flow from design to tape out.
• Experience & Good knowledge in ATE vector generation, testing and silicon bring up.
• Experience in the commercial IPs such as UCIe, CPU, Ethernet, and DDR interfaces.
• Good understanding of PPA (performance, power, and area) trade-offs.
• Experience in SoC level synthesis, timing analysis, lint check, CDC checks.
• Experience in interfacing 3^rd party service companies for DFT/PI/PD.
• Good knowledge and experience in AMBA bus fabric, ARM cores.
• Self-motivated problem-solver with an ability to work well in a team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

Samsung Semiconductor Inc. (SSI) is advancing the world’s technology. As a leader in Memory, System, LSI and LCD technologies, our US teams contribute to breakthroughs in 5G, SOC, memory and display. With our global perspective and diversity of thought, we proudly serve our customers around the world. We are looking for team members who share our commitment to learning and growth and excel when collaborating within and across teams.

Advanced Circuit and Systems (ACAS) is looking for a highly skilled engineer that has strong background and hands-on experience on RFIC design. The candidate will be developing next-generation RF transceivers and mixed-signal circuits for

What You’ll Do

• Design low-power and low-voltage RF and Analog circuits using advanced deep-submicron CMOS technologies.
• Lead efforts to perform chain and chip level design verification and production support tasks.
• Work closely with digital and software developers to develop an implementation that meets
• system requirements.
• Research in advanced wireless techniques for highly integrated RFICs

What You Bring

• Bachelor’s with 20+ years of experience or  Master's with 18+ years of experiences or PhD with 15+ years of experience in a related field.
• Hands-on experience in designing various RF/Analog integrated circuits, such as LNA, Mixer, RF VGAs, PA, VCO, etc., in deep sub-micron CMOS technologies.
• Ability to comprehend RF transceiver system level requirements and translate into circuit level specifications. Excellent problem solving and analytical skills are essential.
• Technical leadership, mentoring, and post-silicon validation expertise are essential.
• Specialized knowledge in high-speed I/Os (SerDes, DDR) or data converters is a bonus.
• Strong knowledge on IC design CAD tools such as Spectre, SpectreRF, Spice, Matlab, and/or ADS.
• Thorough understanding of the physical layout requirement and ability to perform the critical layouts.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.

#LI-VL1

What You’ll Do

The Total Rewards team seeks an innovative Compensation Partner to support the analytics, administration, and implementation of our compensation philosophy and strategy. You will manage multiple projects, provide data‑driven insights, and partner with stakeholders to solve compensation challenges.

Location: Daily onsite presence at our Headquarters in San Jose, CA  in alignment with our Flexible Work policy

Reports to: Director Compensation

Key Responsibilities

• Key Responsibility:

  • Compensation Strategy & Advisory
    • Act as a trusted strategic partner to HR Business Partners, Talent Acquisition, and business leaders, providing data‑driven guidance to address compensation-related issues and provide solutions that support business goals.
    • Build and maintain strong relationships with cross-functional partners and gains a deep understanding of the talent within the assigned Business Units.
  • Market Benchmarking & Analysis
    • Conduct competitive benchmarking, market pricing, and job evaluation activities.
    • Perform pay competitiveness analyses; manage the benchmarking process to ensure programs stay competitive and equitable.
    • Translate market data and internal insights into clear, actionable recommendations.
    • Have genuine interest to leverage AI to automate and optimize
  • Annual Compensation Program Management
    • Manage one or more annual compensation processes, from development through complete execution, including salary review, short/long-term bonus planning and promotions.
    • Build robust data models, reporting dashboards, governance tools and executive-ready review summary to support each planning cycle.
    • Support the design and evolution of compensation programs, including salary structures, short-term and long-term incentive plans.
  • Compensation Systems Ownership
    • Be heavily involved in system configuration and testing for HRMS compensation related processes
    • Partner with HRMS Specialist, translating strategy and vision into system design and workflows, ensuring data integrity, scalable and sustainable design, and excellent user experience.
  • Communication & Stakeholder Management
    • Contributing to the implementation and communication of compensation policies and practices. Create clear communication materials and training sessions to educate managers and internal partners on compensation policies and programs.
    • Act as a consultant on policy design, ensuring fairness, equity, and compliance across all programs.

What You Bring

• 6+ years of relevant experience in compensation analysis and/or program design.
• Proven track record in conducting compensation benchmarking, salary structure design and bonus/incentive planning
• Strong understanding of broad-based compensation programs
• Demonstrated expertise in leading/managing/administering companywide annual compensation programs
• Demonstrated experience collaborating closely with HRBPs, Talent Acquisition, Finance, and business leaders
• Advanced Excel modeling, scenario analysis and data visualization skills. Ability to handle large, complex data set and translate complex data into clear, actionable insights for diverse audiences, including senior leadership
• Hands‑on experience with HRIS (Workday, etc.); Workday experience is a strong plus
• Flexible, proactive, comfortable with ambiguity with ability to thrive in a fast-paced environment
• Strong written, verbal, and presentation skills
• Impeccable level of discretion, confidentiality and attention to details

Job Title: Principal engineer, AI Serving Framework Architect (Software)

What You’ll Do    

The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42853

• As a Tech Lead, leading research teams in Korea and proposing technical direction
• Research on dynamic scheduling methodologies for maximizing AI inference performance in multi-rack scale memory-centric systems, comprised of heterogeneous compute-capable memory and hierarchical memory
• Investigating methods to accelerate search operations in RAG’s vector DB and AI Agent’s knowledge-graph by leveraging compute-capable memory
• Studying strategies for optimally placing KVCache and a vector DB in hierarchical memory to minimize frequent SSD accesses and reduce IO stalls
• Proposing SW design for implementing the derived optimization algorithms on open-source platforms such as vLLM

What You Bring

• PhD in Computer Science or a related field with 10+ years of experience in AI Serving Framework for large-scale computing, with focusing on the AI workloads. 
• Led a project to build and optimize a Large Language Model (LLM) Inference Software Stack on a multi-rack scale system to deliver AI Inference services to over 100,000 users. 
• Extensive experience in designing AI Inference Software Stacks for heterogeneous devices.In-depth understanding of the internal architecture and operation mechanisms of inference engines such as vLLM. 
• Proficiency in AI Inference System Profiling and optimization. 
• Knowledge and practical experience with future AI workloads, including reasoning models, multi-modal solutions, AI agents, and world models. 
• Strong understanding of compute, memory, and networking bottlenecks in AI systems. 
• Required skillsets: PyTorch, Python, and C++ 
• A collaborative mindset, curiosity, and resilience in solving complex challenges. 
• Excellent verbal, presentation, and written communication skills. 
• (Nice to have) Native or fluent Korean speakers are preferred. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build. Understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change 

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