We are  searching for an accomplished Sr. Video Producer & Editor to join our Brand Studio. We are looking for a stellar teammate who is passionate about narrative, visual language, and the power of empathy in the creative process.

You will report to the Video Production Lead located in Seattle and will be occasionally required to travel internationally up to 10% of the time (must have an active passport and valid US Visa ). This role is eligible for remote work within Costa Rica. You  must reside in Costa Rica.  

You Will:

• Use motion graphics, animation, and live-action footage to powerfully bring the Smartsheet brand to life in a visually compelling way.
• Produce and coordinate projects involving internal teams, customers, and agency partners, tracking key milestones from concept to delivery.
• Work with stakeholders on scripts and storyboards. Act as the bridge between the business and the creative, deciphering feedback for animators, editors, and vendors.
• Maintain a high level of polish and attention to detail, ensuring all marketing designs (for campaigns, social media, events, and sales collateral) are on-message and push creative boundaries.
• Actively participate in planning and objective creation to ensure video assets align with target audience needs and brand guidelines.
• Ask questions when out of your depth and support other duties as assigned to help the studio succeed.

You Have:

• 5+ years of experience producing and editing content within a marketing or creative environment ideally in a technology environment or related field.
• You are someone who understands the nuance of animation and flow, yet possesses the project management chops to lead a production from "scrappy" internal initiatives to high-budget broadcast spots. You will be a confident collaborator—comfortable leading when necessary and supporting when needed—always ensuring the final product is something the entire team can be proud of.
• Advanced proficiency in Adobe Creative Suite (Premiere, After Effects, and Photoshop are required; full suite preferred), with a strong emphasis on motion graphics animation and a continued ability to learn industry plug-ins, filters and any adjacent environments (Eleven Labs, Figma, Canva, Firefly, etc.
• Deep understanding of video production workflows, audio recording/mixing, and YouTube best practices.
• Experience working closely with essential executives and business leaders to form lasting internal partnerships.
• A body of work that demonstrates outstanding storytelling, "scrappy" problem-solving, and high-end production value.
• Bachelor’s degree, relevant certifications or equivalent experience in a relevant field (Film, Animation, Journalism, Marketing, or Communications).

Perks & Benefits:

• Fully paid Health & Life insurance for full-time employees and family members
• Monthly stipend to support your work and productivity
• 12 days paid Vacation + Flexible Time Away Program
• 20 weeks fully paid Maternity Leave
• 12 weeks fully paid Paternity/Adoption Leave
• Personal paid Volunteer Day to support our community
• Opportunities for professional growth and development including access to LinkedIn Learning online courses
• Company Funded Perks including a counseling membership and your own personal Smartsheet account
• Teleworking options from any registered location in Costa Rica (role specific)

We are searching for a high-caliber Senior Visual Designer, a visual ringer and conceptual powerhouse to join our fierce brand studio. Smartsheet is growing in every direction, and we need an "idea engine" who can concept across narrative, experience, and systems. You aren't just an expert in your craft; you possess an insatiable appetite for human insight and the discipline to execute flawlessly end-to-end.

You will report to the Creative Director in Costa Rica. This role is eligible for remote work within Costa Rica. You  must reside in Costa Rica. 

You will: 

• Push the Brand Forward: Create every piece of work with the intentional goal of elevating and evolving the Smartsheet brand identity.
• Lead & Mentor: Lead project’s execution, reviewing the output of junior designers and contractors to ensure world-class quality and professional growth.
• Master the System: Participate in the definition and creation of flexible, coherent design systems, and component libraries. Design mood boards, comps, concept sketches, presentation decks, style guides, and storyboards.
• Drive Full-Cycle Projects: Own projects from initial conception to final completion, deciding the most effective way to present work to stakeholders.
• Manage with Precision: Manage large-scale projects and deadlines, while helping less senior designers manage their time and resources effectively.
• Guide the Vision: Eloquently explain design decisions and guide stakeholder feedback to ensure all work stays "on brief" and aligned with strategic goals.
• Collaborate Cross-Functionally: Partner with technology and project management to ensure designs meet creative, strategic, and technical objectives.
• Commission Excellence: Identify and commission specialists (artists, photographers, etc.) to bring unique projects to life.
• Other job duties as assigned.

You have:

• Strategic Foresight: The ability to see the "big picture," understanding organizational resources and offering solutions within company processes.
• Proactive Ownership: A habit of anticipating stakeholder needs before they are requested; you take equal responsibility for the final project outcome.
• Multi-Tasking Mastery: The proven ability to juggle several large, complex projects simultaneously without losing attention to detail.
• 5+ Years of Experience: Extensive background in mid-to-senior level roles focused on marketing collateral, brand systems, and digital strategy for Technology companies.
• Expert Craftsmanship: Mastery of Adobe Creative Suite (Illustrator, Photoshop, InDesign, Creative Cloud, Firefly and Express).
• Bonus skills: Motion (After Effects), Document design (Google and Microsoft Office) and Web (Figma, Zeplin, Webflow, HTML/CSS, Drupal).
• Cultural Fluency: A deep understanding of global trends and the ability to design solutions that resonate across different regions and languages including but not limited to Generative and Agentic AI.
• Entrepreneurial Mindset: A "get things done" attitude that balances high-speed iteration with high-quality output.
• Educational Background: Bachelor’s degree in design, relevant studies and certifications or equivalent professional experience.

Perks & Benefits:

• Fully paid Health & Life insurance for full-time employees and family members
• Monthly stipend to support your work and productivity
• 12 days paid Vacation + Flexible Time Away Program
• 20 weeks fully paid Maternity Leave
• 12 weeks fully paid Paternity/Adoption Leave
• Personal paid Volunteer Day to support our community
• Opportunities for professional growth and development including access to LinkedIn Learning online courses
• Company Funded Perks including a counseling membership and your own personal Smartsheet account
• Teleworking options from any registered location in Costa Rica (role specific)

Smartsheet is empowering ambitious sales professionals to join our team as Account Executives. In this role, you'll transcend traditional sales, becoming a trusted advisor and strategic partner to our customers. You'll be at the forefront of driving significant revenue growth by managing and expanding relationships within a portfolio of accounts. This is your chance to leverage your strategic thinking and sales acumen to navigate complex deals and deliver transformative solutions that directly impact our clients' success.

At Smartsheet, we provide a leading cloud-based platform for work execution, enabling organizations to plan, capture, track, automate, and report on work at scale. We are committed to fostering a culture of trust and innovation, empowering our team to deliver exceptional value to our clients.  

This role is eligible for remote work within Costa Rica. You  must reside in Costa Rica.  

You will:

• Drive Strategic Growth: Exceed software and services sales targets by developing and executing strategic account plans for clients.
• Cultivate Executive Relationships: Build and nurture strong relationships with C-level executives and key decision-makers, positioning Smartsheet as a strategic partner.
• Navigate Complex Deals: Lead complex, solution-based sales cycles, aligning Smartsheet's capabilities with clients' strategic objectives and driving significant deal closures.
• Proactive Opportunity Identification: Identify and capitalize on expansion opportunities within existing accounts, anticipating client needs and proactively offering tailored solutions.
• Strategic Pipeline Management: Develop and maintain a robust sales pipeline, accurately forecasting revenue and leveraging data-driven insights to optimize sales strategies.
• MEDDICC: Expertly apply MEDDICC qualification methodologies to ensure deal success and drive predictable revenue growth.
• Cross-Functional Collaboration: Partner with internal and external stakeholders, including solution engineering and customer success teams, to deliver exceptional client experiences.
• Sales Leadership: Embody the traits of an elite sales professional, serving as a mentor and role model for the team.
• Other job duties as assigned.

You have:

• Proven Sales Expertise: 1-3 years of progressive sales experience, with a strong track record of success in the software or technology sector.
• Strategic Account Management: Demonstrated ability to manage and expand relationships within accounts in a B2B environment.
• Strategic Thinking and Problem-Solving: Ability to analyze complex client needs, develop strategic solutions, and navigate challenging sales cycles.
• Professional Presence and Communication: Exceptional written and verbal communication skills, with the ability to effectively engage and influence C-level executives. B2 English Proficiency Level or higher.
• Technical Acumen: Passion for technology and the ability to quickly grasp complex technical concepts.
• Sales Tools Proficiency: Proficiency in CRM systems (Salesforce), sales engagement tools (Outreach), data visualization platforms (Tableau), and others as needed.
• Resilience and Adaptability: Ability to thrive in a fast-paced environment, adapt to change, and overcome challenges.
• Educational Background: Degree in Business Administration, Marketing, Sales, or a related field preferred, or equivalent sales experience.
• Smartsheet Expertise: Deep understanding of the Smartsheet platform and advanced capabilities.
• Complex Solution Sales: Proven ability to execute complex solution sales involving both software and services.

Perks & Benefits:

• Fully paid Health & Life insurance for full-time employees and family members
• Monthly stipend to support your work and productivity
• Asociacion Solidarista with employee and employer contributions as well as potential alliances with entities such as universities, gyms, etc.
• 12 days paid Vacation + Flexible Time Away Program
• 20 weeks fully paid Maternity Leave
• 12 weeks fully paid Paternity/Adoption Leave
• Personal paid Volunteer Day to support our community
• Opportunities for professional growth and development including access to LinkedIn Learning online courses
• Company Funded Perks including a counseling membership and your own personal Smartsheet account
• Teleworking options from any registered location in Costa Rica (role specific)

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

Summer Internship  

Our Summer Internship is designed for students leading into their final year of university, who want to gain real life work experience in a fast past, exciting and professional environment.   

As a Summer Intern, you will participate in onboarding with the UR team that will set you up for success in your role. You will also benefit from professional development sessions, networking, and social events provided by the Internship Program.   

The program takes place from June – August 2026 (12 week program)  

The Role

Join the Policy Engineering team and contribute to building an enterprise-grade cloud data governance platform used by Fortune 500 clients to manage and protect sensitive data across complex, multi-cloud environments.

• Develop internal tooling, testing harnesses, and AI-assisted developer utilities that improve team productivity and engineering quality — owning small-to-medium scoped projects with real impact on day-to-day engineering workflows.
• Write backend code in Go within a large, production-grade codebase — learning established patterns and conventions under the guidance of senior engineers and tech leads.
• Build and maintain automated test suites and evaluation frameworks to validate system behavior, helping the team catch regressions and ensure correctness as the product evolves.
• Explore and prototype AI/LLM-powered tooling to assist with development workflows — such as automated test generation, code analysis utilities, or documentation assistants.
• Collaborate closely with senior engineers — attending design discussions, sprint planning, and code reviews as a participant, gaining exposure to how large-scale distributed systems are architected and delivered.
• Ramp up on modern backend and cloud engineering practices including distributed systems concepts, event-driven architecture, multi-tenant SaaS design, and cloud infrastructure.

 What you'll gain: Hands-on experience shipping real software in a production engineering environment, mentorship from senior engineers, and deep exposure to enterprise cloud and data platform engineering.

Requirements:

• This role requires you to be in office 5 days a week at the San Jose, California location

Qualifications: 

• Currently pursuing a Bachelors or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong problem-solving and analytical skills.
• Must be able to exhibit prior use of AI tooling
• Ability to work independently in a dynamic, fast-paced environment; high-energy, motivated self-starter.
• Detail-oriented with a proactive, problem-solving mindset 
• Comfortable working in a fast-paced, collaborative environment
• Strong organizational skills with the ability to manage multiple moving pieces 

Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa now or in the future. 

Benefits

As a paid intern at Veeam, you’ll receive:

• Paid Company Holidays during your internship
• Tech Stipend to help set up your workspace
• 8 Hours of Paid Volunteer Time through our Veeam Cares Program
• Personal and Professional Development through our Internship Program

We’re committed to providing a supportive and rewarding internship experience.

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

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

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

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

itD is seeking a Diagnostic Software Engineer to design, develop, and validate embedded diagnostic solutions that support system reliability, performance, and hardware-software integration. The ideal candidate will bring deep experience in embedded systems development and low-level programming, along with a proven track record of debugging complex hardware/software interactions and delivering high-quality, production-ready solutions.

Location: Hybrid – 4 days onsite (5 days as needed) in San Jose, CA
Pay Range: $34 - $34.61 (hourly)

We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.

Responsibilities:

• Develop and maintain embedded diagnostic software for hardware systems and device drivers
• Debug and resolve complex issues across hardware and software layers, including kernel and application levels
• Validate and test embedded systems to ensure reliability, performance, and compliance with requirements
• Collaborate with cross-functional teams to support hardware bring-up and system integration
• Implement and support communication protocols such as I2C, SPI, UART, PCIe, and GPIO
• Analyze system performance and troubleshoot defects using kernel-level debugging tools
• Contribute to continuous improvement of development and validation processes

Internal Responsibilities:

• Attend regular internal practice community meetings.
• Collaborate with your itD practice team on industry thought leadership.
• Complete client case studies and learning material (blogs, media material).
• Build out material to contribute to the Digital Transformation practice.
• Attend internal itD networking events (in person and virtual).
• Work with leadership on career fast-track opportunities.

Required Qualifications and Skills:

• Proficient in C programming
• Experience with hardware and device driver development, including Linux hardware bring-up
• Experience developing, debugging, and validating embedded systems and device drivers
• Hands-on experience with protocols such as I2C, SPI, UART, PCIe, and/or GPIO

Preferred Qualifications and Skills:

• Experience troubleshooting software defects from kernel modules to applications
• Familiarity with Layer 2/3 network protocols
• Proficiency with kernel debugging tools such as GDB and KGDB

Education:

• Bachelor’s degree in a relevant field or equivalent work experience required

What You’ll Do:

As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $180,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What You’ll Do:

As a Staff AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $190,000 - $240,000 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What You’ll Do:

As a Principal AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $270,000.00 - $340,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What You’ll Do:

As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $180,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What You’ll Do:

We are looking for an experienced Data Engineer to specialize in aviation data and analytics, focusing on two critical areas: scalable and efficient processing of flight test data for rapid design iteration and near-real-time analysis of aircraft health data for predictive maintenance. This role is vital for accelerating our aircraft design and improvement processes through efficient, scalable data processing and for ensuring operational reliability and safety through advanced predictive analytics.

In this role, you will be tasked with various aspects of data engineering. In addition to the above, your responsibilities will include but not limited to the following.

• Architect, build, and optimize our data processing systems to ensure reliability, efficiency, and scalability
• Develop and optimize ETL processes, data models, and data architectures for data transformation, structures, metadata, and workload management
• Develop and maintain data models that support analytics, reporting, and custom app development
• Create robust data quality observability, monitoring, testing, and validation frameworks
• Engage actively with analytics teams and business stakeholders to understand their data needs, ensuring the data architecture supports decision-making processes effectively
• Support the integration of data systems with aircraft telemetry, flight testing, and operational systems

What You Need:

• Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Data Analytics, or a related field
• At least 3 years  experience in data or software engineering with background implementing best practices for SQL and programming languages (e.g. Python, Go, Rust)
• Experience designing and managing data warehouse /  lakehouse architectures for high performance and low latency
• Led development of real-time data pipelines using Kafka or related technologies
• Expertise with one or more cloud data platforms (e.g., AWS, GCP, Azure) 
• Deep understanding of data security and quality governance
• Deployed and scaled data workloads using Docker and Kubernetes, with the ability to manage compute resources for high-volume processing 
• Familiarity with ERP systems and how to extract data to build custom tools & applications
• Knowledge of integrating Gen AI into production data workflows 
• Exceptional analytical skills, attention to detail, and the ability to collaborate effectively across multidisciplinary teams
• Clear communication skills that are essential for working across diverse stakeholders

Bonus Qualifications:

• Solid foundation in machine learning and other data science fundamentals
• Familiarity with time series data applications and related technologies
• Experience with Infrastructure as Code (Terraform, CloudFormation)
• Advanced skills in predictive analytics and machine learning models for maintenance and anomaly detection
• Experience in aerospace or a related field, particularly with flight test data analysis and aircraft health monitoring
  
  

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Custom Application Question:

In order to comply with U.S. export control laws and regulations, applicants for this position who are non-U.S. nationals (i.e. individuals who are not U.S. Citizens, Permanent Residents, Asylees, Refugees or members of a similar designation) may need to obtain an export-control license to access certain restricted data and/or information. To the best of your knowledge, is there a possibility that you may need to acquire an export-control license? 

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

About the Role

We are seeking a highly skilled and hands‑on Software AI Ops & Tools Lead to drive the development, integration, and optimization of advanced software systems that power our next‑generation eVTOL aircraft. This role sits at the intersection of AI, autonomy, infrastructure, and engineering operations—playing a critical part in shaping the future of urban air mobility.

As a technical leader, you will architect and implement scalable tools, platforms, and workflows that enable our engineering teams to build, test, and deploy intelligent, safety‑critical software. You will work closely with cross‑functional partners across Autonomy, Machine Learning, Flight Software, Infrastructure, and Systems Engineering to ensure our AI‑driven capabilities are robust, reliable, and production‑ready.

This is a hands‑on leadership position for someone who thrives in fast‑paced environments, enjoys solving complex technical challenges, and wants to make a direct impact on the future of aviation.

Key Responsibilities

Leadership & Strategy

• Lead the vision, roadmap, and execution for AI‑driven software tools, infrastructure, and operational workflows.
• Provide hands‑on technical leadership while mentoring and developing a high‑performing engineering team.
• Partner with Autonomy, ML, Software, and Infrastructure teams to define requirements and deliver scalable solutions.
• Drive best practices in software development, testing, deployment, and monitoring for AI‑enabled systems.

AI, Machine Learning & Autonomy Integration

• Build and maintain tools and pipelines that support AI/ML model development, simulation, validation, and deployment.
• Develop systems that integrate AI and autonomy algorithms into flight‑critical and mission‑critical software stacks.
• Ensure reliability, traceability, and performance of AI/ML components across the full lifecycle—from research to production.

Software Infrastructure & Operations

• Design and implement scalable infrastructure for data processing, model training, simulation, and continuous integration.
• Develop internal tools that improve developer productivity, system observability, and operational efficiency.
• Own the end‑to‑end software operations ecosystem, including build systems, testing frameworks, and deployment pipelines.
• Ensure compliance with aviation‑grade safety, reliability, and certification requirements.

Cross‑Functional Collaboration

• Work closely with hardware, systems, and flight test teams to ensure seamless integration of AI‑enabled software.
• Collaborate with leadership to align technical decisions with company‑wide goals and aircraft development milestones.
• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders.

Qualifications

• 10+ years of experience in software engineering, with significant experience in AI/ML, autonomy, or robotics.
• Proven track record in hands‑on technical leadership roles.
• Deep expertise in building tools, platforms, and infrastructure for AI/ML development and deployment.
• Strong understanding of distributed systems, cloud infrastructure, CI/CD, and developer tooling.
• Experience integrating AI/ML algorithms into real‑time or safety‑critical systems is highly preferred.
• Background in robotics, autonomy, aerospace, or related fields is a strong plus.
• Passion for advancing the future of aviation and autonomous flight.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis. 

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications. At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company's business strategy. For this position we are targeting a base pay between $200,000 - $250,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience. Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodations for any part of the application or hiring process should provide their name and contact information to Archer's People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

We are looking for a highly motivated and versatile Senior Platform Engineer to join our platform engineering team. This unique role is central to accelerating our product development lifecycle and operational efficiency. You will be instrumental in bridging the gap between development, infrastructure, and our burgeoning AI/ML initiatives, focusing on automation, self-service infrastructure, and workflow optimization. This position is ideal for an experienced engineer who thrives on creating leverage for others and tackling complex, interdisciplinary challenges.

Key Responsibilities:

CI/CD and Automation

• Design, implement, and maintain scalable and reliable CI/CD pipelines (e.g., using GitLab CI, GitHub Actions, Jenkins, Spinnaker) to ensure rapid and safe deployments across multiple environments.
• Drive the adoption of best practices for build management, testing automation, and deployment strategies (Canary, Blue/Green, etc.).
• Minimize deployment friction and cycle time for all engineering teams.

Self-Service Infrastructure & Provisioning

• Develop and champion self-service tooling and internal platforms (leveraging tools like Terraform, Ansible, Kubernetes, or equivalent cloud provider APIs) that empower development teams to provision and manage their own infrastructure resources securely and efficiently.
• Establish guardrails and policy-as-code to ensure compliance, cost efficiency, and security across all provisioned infrastructure.

AI Infrastructure Enhancement & Support

• Collaborate closely with AI/ML Engineers to improve the underlying platform used for model training, experimentation, and serving.
• Focus on the operationalization of MLOps pipelines, including data lineage tracking, feature store integration, and production model deployment automation.
• Assist in optimizing resource allocation (e.g., GPU usage, specialized hardware) for AI workloads.

Workflow Automation & Internal Tooling

• Architect and build automated workflows and bots, primarily within communication tools like Slack or Zoom, to streamline common engineering tasks (e.g., on-call handoffs, incident response, environment status checks, approval processes).
• Develop internal APIs and services that connect disparate engineering systems to enhance communication and cross-functional transparency.

Required Qualifications

• 5+ years of professional experience in Platform Engineering, DevOps, Site Reliability Engineering (SRE), or a related discipline.
• Deep expertise in cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform strongly preferred).
• Expertise in containerization and orchestration technologies (Docker and Kubernetes).
• Proficiency in scripting and general-purpose programming languages (e.g., Python, Go, Bash).
• Extensive experience designing and managing CI/CD systems at scale.
• Proven track record of building internal developer platforms or self-service tools.

Preferred Qualifications

• Experience with AI/ML infrastructure, MLOps tooling, or data pipeline technologies (e.g., Airflow, Kubeflow, Vertex AI, SageMaker).
• Prior experience building conversational interfaces, bots, or workflow automation tools for platforms like Slack or Teams.
• Familiarity with distributed tracing, logging, and monitoring systems (e.g., Prometheus, Grafana, ELK stack, Datadog).
• Experience with security best practices in a cloud environment (IAM, network security, secrets management).

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $144,000 - $175,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Role

We are looking for a Manager, IT Business Applications (Learning Technology) to join our IT/Business Applications department. Reporting to the Sr. Director, Enterprise Applications, this role offers the flexibility to work remotely within the United States, with a preference for candidates based near our San Jose, CA office who can participate in a hybrid schedule (three days per week onsite).

We are seeking a highly motivated, experienced, and hands-on individual to own and manage the business applications related to our external and internal Learning Management Systems. Your primary focus will be on end-to-end business processes, systems architecture, and LMS integrations, ensuring seamless connectivity with the rest of the IT Business Applications landscape. You will work closely with cross-functional business and IT teams to understand business processes, define strategies, gather requirements, and design solutions that align with our business objectives.

What you’ll do (Role Expectations)

• Take ownership of our current internal and external LMS platforms, CMS platform, Certification platform, Badging platform, and future solutions, ensuring their effective functioning and optimal utilization
• Work closely with business stakeholders to define the business process and technology platforms strategy and roadmap
• Design and maintain the architecture of the LMS and ensure smooth integrations with other business applications in our technology ecosystem
• Manage relationships with LMS, CMS, and Certification platform vendors and other relevant technology providers while evaluating new and existing vendors to maintain healthy partnerships
• Collaborate with stakeholders and subject matter experts to translate business needs into comprehensive, scalable, and user-centric solution designs

Who You Are (Success Profile)

• You thrive in ambiguity, comfortable building the path as you walk it, and see ambiguity as the raw material to build something meaningful.
• You are a problem-solver who seeks out challenges and is energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are customer-obsessed, building deep empathy for internal and external customers while championing their needs from start to finish.
• You operate with urgency, focusing relentlessly on execution and a bias for action to deliver high-impact results quickly.
• You think at scale, connecting your day-to-day work to the larger company mission and building solutions that support a high-growth, global organization.

What We’re Looking for (Minimum Qualifications)

• 10+ years of experience managing enterprise business applications, with 5 or more years managing Learning Management Systems and related technologies
• Strong understanding of end-to-end business processes for enablement, learning management, and certification management alongside best practices
• Expertise in systems architecture, integration, solution design, and SSO authentication for LMS platforms
• Familiarity with LMS platforms (Cornerstone, Litmos, Skilljar), CMS platforms (Mediafly), Certification platforms (Pearson Vue), Gamification systems (Credly), and data platforms (Snowflake, Tableau)
• Exceptional communication and interpersonal skills with the ability to collaborate effectively with cross-functional business stakeholders and technology teams

What Will Make You Stand Out (Preferred Qualifications)

• Exceptional hands-on ability and willingness to administer the LMS platforms as an individual contributor
• Proven experience in vendor management and contract negotiations
• Experience delivering AI-enabled workflows using native Learning Management System capabilities or other advanced AI tools to drive innovation and continuous improvement

#LI-Remote #LI-YC2

About the Role

As the Engineering Trainer, you will enable engineers and cross-functional teams to effectively use PLM, CAD, and configuration management tools in a disciplined, compliant, and efficient manner. You will design and deliver structured training programs that ensure users understand how to work in Teamcenter, execute model-based workflows, and maintain strong data integrity and configuration control practices. You will support onboarding, continuous learning, and regulatory readiness through well-structured training, documentation, and evidence of competency.

What You'll Do

• Deliver onboarding training for all personnel who require access to PLM tools
• Deliver NX CAD training covering modeling fundamentals, best practices, and advanced techniques
• Provide Teamcenter PLM training on workflows, data management, and system navigation
• Develop and deliver training modules covering Teamcenter fundamentals, engineering change workflows
• Teach CAD principles including modeling strategy, feature discipline, and assembly structure expectations
• Train users on Model-Based Definition (MBD) and Model-Based Enterprise (MBE) workflows and best practices
• Create structured, role-based learning paths for designers, Change Approvers, and support teams
• Develop and maintain training materials including guides, reference sheets, videos, and web pages
• Maintain and update Confluence documentation sites with training materials, standards, and process guides
• Maintain organized training libraries and ensure materials remain up-to-date with evolving processes and system capabilities
• Serve as the first line of guidance for common PLM and CAD usage questions, directing teams to appropriate training resources and documentation
• Communicate new processes, updates, and training expectations across the engineering organization
• Partner with Configuration Management and Product Lifecycle Engineering teams to support rollouts, workflow changes, and tool upgrades
• Support Design Data Integrity and Configuration Management teams with training on new processes and tools
• Gather user feedback, monitor adoption trends, and continuously improve training content to reduce errors, improve compliance, and increase tool proficiency

What You Need

• A self-starter mindset with a strong desire to teach, communicate, and help others succeed
• Ability to train users on CAD systems (NX, CATIA, CREO/Pro-E, or equivalent) and PLM systems (Teamcenter, Windchill, Enovia, 3DX, or equivalent)
• Background as a design engineer, CAD specialist, or drafter with practical experience creating production-ready CAD
• Experience working in and training Model-Based Definition (MBD) and Model-Based Enterprise (MBE) workflows
• Ability to model complex components, ideally including surfacing-driven geometry and Wave Linking to Interface Control Models
• Understanding of engineering change processes, including Change Requests, Change Notices, and related workflows
• Strong communication skills and the ability to translate complex engineering and CM concepts into practical, easy-to-understand training content
• Experience creating training materials such as web pages, presentations, written guides, or video tutorials
• Comfort leading workshops, hands-on training sessions, and group learning environments
• Ability to collaborate across engineering, CM, quality, and IT teams
• Strong organizational skills with attention to detail and documentation discipline
• Bonus Qualifications
• Hands-on experience in Siemens Teamcenter, including workflows, BOM management, and data structures
• Experience in NX, CATIA, or both, with deep familiarity in model lifecycle expectations and best practices
• Experience training composite modeling workflows in CPD (Composite Part Design) or Fibersim
• Ability to coordinate and facilitate working groups to define organizational standards and best practices
• Experience supporting PLM adoption, training initiatives, or enterprise rollout programs
• Experience in aerospace, automotive, or other complex engineering environments

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

We are looking for 0 to 1 Software Engineers to join an elite team that is building out Archer’s Airline Operations Software Ecosystem. Engineers who have built and shipped multiple products across disciplines and languages are encouraged to apply. Experience with backend development combined with AI-focused front-end development is especially valued. 

This role is 10-days a month in-person at our HQ in San Jose, CA.

What You'll Do:

• Build Great Software: Take product requirements and turn them into beautiful, reliable, and high quality web and mobile applications
• Create and manage backend infrastructure including building database schemas, API architecture, orchestration services, and refining architecture
• Product Development: Lead end-to-end technical execution and receive full ownership of the software development lifecycle
• System Architecture: Design and implement the architecture and tech stack that will serve as the backbone for our platform while balancing scalability, speed, and reliability
  Contribute to the Roadmap: Ideate, plan, and prototype technical tools for aircraft performance and dispatch settings
• Work Cross-Functionally: Work with design, data science, and technical aviation experts to supercharge the features and products you are working on
• Knowledge of Code-Generation: Use the latest code-generation technologies to streamline your workflow and achieve breakthrough productivity
• AI-Native Product Building: Implement and productize novel machine learning and deep learning algorithms developed by our AI/ML research team 

What You Need:

• Minimum of 5 Years of Post-College Work or Entrepreneurial Experience 
• 4-Year College Degree in an Engineering Discipline (or multiple pieces of evidence of outstanding individual technical achievement)
• Evidence of End-End Product Ownership: Experience building all parts of software from front-end to back-end to cloud deployment
• Personal Projects: Rich Github history with examples of personal projects that can be shared with the hiring team and/or open-source contributions
• Technologies: Next.JS, Java Script, React, React Native, Python, Fast API, PostGres
• Design: Ability to create intuitive, clean, and professional products without a dedicated designer or design system
• AI: Strong understanding of how to implement and train AI systems into SaaS products and willingness to learn and adapt to building voice agent
• Infrastructure: Familiarity with building server-less & micro-service in popular cloud hyperscalers and managing production grade CI/CD pipelines
• Adaptability: Quickly and iteratively respond to needs of customers and turn product changes around on tight timelines

Bonus Qualifications:

• Infrastructure experience: k8s, S3, RDS, SQS, Lambda, Datadock, Docker, and Temporal Orchestration Service
• Strong passion for aviation and/or UAM
• Willingness and ability to transition between mobile and web development

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $170,000.00 - $195,000.00  Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

The Principal Solution Architect – Supply Chain Systems will lead the end-to-end architecture, roadmap, and solution design for Supply Chain and Logistics functions across the enterprise. This role ensures scalable, integrated, and efficient system landscapes leveraging SAP S/4HANA core capabilities and extending through planning, procurement, logistics, and supplier collaboration platforms (e.g., Ariba, IBP, Palantir, and BTP-based solutions).You will partner with business and technology leaders to shape the digital supply chain strategy that supports enterprise growth, operational maturity, and innovation.

Key Responsibilities

1. Architecture and Strategy

• Own the Supply Chain architecture vision and roadmap across Procurement, Planning, Logistics, and Supplier Collaboration.
• Define scalable and standardized SAP S/4HANA designs (MM, SD, EWM, PP, TM, GTS, and Ariba integration).
• Evaluate and rationalize existing processes; drive standardization and simplification aligned to enterprise goals.
• Lead design governance through the Architecture Review Board ensuring cross-functional alignment.
• Partner with Enterprise Architecture to connect supply chain roadmaps with Manufacturing, Finance, and Quality domains.

2. Solution Delivery and Design Leadership

• Lead end-to-end design for supply chain initiatives — from concept to go-live — ensuring seamless data flow across sourcing, procurement, inventory, logistics, and finance.
• Translate business needs into system capabilities leveraging SAP best practices (S/4HANA Public/Private Cloud).
• Oversee integration architecture between SAP and non-SAP systems (IBP, Palantir, BTP, Workato, Mendix).
• Collaborate with business SMEs to document “as-is” and “to-be” process flows and establish future-state capability models.
• Ensure compliance with SOX, trade, and audit controls in supply chain processes.

3. Process Transformation

• Partner with Operations, Planning, and Procurement teams to identify process gaps and lead continuous improvement initiatives.
• Introduce automation, AI/ML-enabled demand forecasting, and supplier collaboration enhancements.
• Drive data governance and master data integrity across Material Master, Supplier Master, and transactional data.

4. Governance and Leadership

• Act as a key member of IT leadership, driving supply chain transformation programs and stakeholder alignment.
• Provide guidance and mentorship to analysts, developers, and partner teams working within the supply chain domain.
• Define architectural standards, integration models, and reusability frameworks across projects.
• Collaborate with the Production Support team to ensure solutions are maintainable post-implementation.

Qualifications

• Education: Bachelor’s degree in Supply Chain, Engineering, Computer Science, or related field; Master’s preferred.
• Experience:
  
• 15+ years in end-to-end supply chain process and system transformation.
• Deep functional expertise in SAP S/4HANA modules: MM, SD, PP, EWM, TM, GTS, and Ariba.
• Proven experience with IBP (Integrated Business Planning) or equivalent advanced planning tools.
• Understanding of SAP BTP, APIs, and integration frameworks for connecting SAP and non-SAP systems.
• Hands-on experience in greenfield and brownfield SAP implementations.
• Prior exposure to manufacturing, aerospace, or automotive supply chains preferred.
  
  
• Skills:
  
• Strong understanding of data architecture, analytics integration, and control frameworks.
• Excellent stakeholder management, communication, and cross-functional leadership.
• Ability to translate business strategy into executable technology roadmaps.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $190,000 - $245,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

We are an equal-opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws.

itD is seeking a Product Manager, Adobe Analytics to lead the implementation, governance, and optimization of analytics tracking across Sephora’s digital ecosystem. This role ensures accurate data collection, scalable measurement frameworks, and high-integrity insights that inform product, marketing, and business decisions. The ideal candidate brings deep experience in analytics implementation and product management, with a proven track record of delivering robust tracking solutions, actionable insights, and cross-platform measurement strategies.

Remote (U.S. preferred, Pacific Time alignment)

Responsibilities

• Lead end-to-end Adobe Analytics implementation across desktop, mobile web, and app experiences
• Define and manage tagging strategy, data layer requirements, and analytics governance for new features and releases
• Translate business and product requirements into clear, sprint-ready user stories for analytics tracking
• Partner with engineering and QA to implement, validate, and maintain accurate tracking across releases
• Conduct QA of analytics tags using debugging tools, identifying discrepancies and driving resolution
• Develop and evolve KPI frameworks aligned to product, marketing, and business objectives
• Build and maintain dashboards and reporting to track engagement, conversion, retention, and revenue trends

Internal Responsibilities

• Attend regular internal practice community meetings
• Collaborate with your itD practice team on industry thought leadership
• Complete client case studies and learning material (blogs, media material)
• Build out material to contribute to the Digital Transformation practice
• Attend internal itD networking events (in person and virtual)
• Work with leadership on career fast-track opportunities

Required Qualifications and Skills

• 3–5+ years of experience in web and mobile analytics implementation using Adobe Analytics
• Hands-on experience with Adobe Experience Cloud, including Processing Rules, Classification Rules, and Workspace
• Experience defining and implementing tracking for evars, props, events, and data layers
• Proficiency in debugging and validating analytics tags using tools such as Charles or Fiddler
• Strong working knowledge of JavaScript and SQL
• Experience writing detailed user stories and working within Agile development environments
• Demonstrated ability to troubleshoot tracking issues and validate end-to-end analytics implementations
• Strong ability to communicate technical concepts and data insights to cross-functional stakeholders

Preferred Qualifications and Skills

• Experience in retail or ecommerce environments with an understanding of digital conversion funnels and customer journeys
• Background in product management with ownership of analytics or data-focused initiatives
• Experience building scalable dashboards and reporting frameworks for business stakeholders
• Familiarity with cross-platform measurement strategies across web and mobile applications

Education
Bachelor’s degree in a relevant field or equivalent work experience required.

Senior Risk Assessment & Reporting Analyst (FinTech)

itD is seeking a Senior Risk Assessment & Reporting Analyst to lead and execute comprehensive risk assessments across financial, operational, compliance, and strategic domains. This role plays a critical part in ensuring alignment between risk management practices and business objectives within a fast-paced fintech environment. The ideal candidate will bring deep experience in enterprise risk management and a proven track record of delivering actionable risk insights, reporting frameworks, and mitigation strategies.

Location: Remote (USA)

Duration: 12 Months

We provide comprehensive medical benefits, a 401k plan, paid holidays, and more.
Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.

Responsibilities

• Lead end-to-end execution of risk assessments, including risk identification, analysis, and mitigation planning
• Develop and implement qualitative and quantitative risk assessment methodologies and risk weighting frameworks
• Analyze and aggregate risk data to produce comprehensive reporting and actionable insights
• Create and present risk reports, dashboards, and executive-level slide decks with clear data visualization
• Collaborate with cross-functional stakeholders, including product teams, to align risk strategies with business goals
• Track risk mitigation efforts, maintain KRIs/KPIs, and ensure timely follow-up on open risk items
• Conduct risk assessments across multiple domains, including financial, operational, compliance, and strategic risk

Internal Responsibilities

• Attend regular internal practice community meetings
• Collaborate with your itD practice team on industry thought leadership
• Complete client case studies and learning material (blogs, media material)
• Build out material to contribute to the Digital Transformation practice
• Attend internal itD networking events (in person and virtual)
• Work with leadership on career fast-track opportunities

Required Qualifications and Skills

• 5–7+ years of experience in risk assessment, enterprise risk management, or related domain
• Strong understanding of risk assessment methodologies and frameworks
• Experience executing independent/enterprise risk assessments, including documentation, mitigation tracking, and reporting
• Proven ability to develop risk reporting, including dashboards, charts, and presentation materials
• Strong analytical and problem-solving skills with the ability to interpret complex data
• Excellent communication skills with the ability to translate complex risk concepts for non-technical stakeholders
• Experience managing multiple priorities in a fast-paced environment
• Strong attention to detail, organizational skills, and proactive ownership of tasks

Preferred Qualifications and Skills

• Experience in fintech, payments, or financial services industries
• Experience working with product teams and understanding product development lifecycles
• Familiarity with payment systems and financial services risk frameworks
• Knowledge of emerging technologies such as AI, model risk management, and AI risk frameworks (e.g., NIST)

Education

Bachelor’s degree in a relevant field or equivalent work experience required

Astera Labs is seeking an exceptional Senior Director System Validation to lead our AI Fabric Validation organization. Connectivity is a critical component of every AI accelerator deployment and hyperscale data center architecture. As part of the AI Fabric Engineering group, you will play a key role in ensuring that Astera Labs’ fabric solutions perform at scale and deliver system-level performance across the most demanding AI and ML workloads. This role offers a unique opportunity to shape validation strategy for cutting-edge connectivity silicon and gain deep insight into next-generation AI infrastructure platforms. Your primary responsibility will be to build and lead a world-class validation organization tasked with validating all silicon, firmware, and system-level solutions at scale, ensuring performance, reliability, and production readiness across customer deployments.

Job Description

• Seeking a strong technical leader who has delivered multiple SoC products.
• Lead and scale the system validation organization for Astera Labs' AI fabric portfolio, building a high-performing team across multiple concurrent product programs.
• Understand the performance and functionality requirements of our AI fabric switches to enable customers to develop Data Center systems using Astera Labs' connectivity products for AI and ML applications.
• Own comprehensive validation strategies for AI fabric switch products. Drive execution through scalable automation platforms and data-centric testing with automated reporting and specification compliance verification.
• Collaborate cross-functionally with Architecture, Hardware, Firmware, and Software teams to influence product requirements and ensure validation excellence.
• Ensure timely bring‑up of new silicon and platforms, driving root‑cause analysis and cross‑functional debug of hardware, firmware, and system issues.
• Deliver high‑confidence validation results that support product qualification, customer sampling, and mass production readiness.
• Engage directly with key customers to understand their requirements and highlight the unique capabilities of Astera Labs' solutions.
• The ideal candidate brings deep expertise in silicon/system validation, a strong architectural mindset, and a proven ability to scale organizations in fast‑moving, high‑performance computing environments.
• Work closely with silicon design, architecture, Firmware, software engineering teams to ensure cohesive validation strategies.
• Drive a culture of technical excellence, accountability, and continuous improvement.
• Manage resource planning, and vendor/partner relationships.

Basic Qualifications

• Strong academic background in Electrical or Computer Engineering. Bachelor's required, Master's preferred.
• ≥15 years' experience supporting or developing complex SoC/silicon products for Server, Storage, Networking applications and high‑performance hardware companies.
• ≥5 years hands-on experience with Silicon/System bring-up, validation, and debug, including in customer systems.
• ≥5 years building high performance Engineering teams and validation methodologies.
• Deep understanding of CPU, GPU, SoC, or AI/ML accelerator architectures, including memory subsystems, I/O, power management, and firmware interactions.
• Expertise in validation methodologies: pre‑silicon simulation/emulation, post‑silicon bring‑up, system validation, stress testing, and performance characterization.
• Strong background in debug methodologies, lab infrastructure, and automation frameworks.
• Excellent communication skills and ability to influence executives and cross‑functional partners.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act with the customer in mind!

Preferred Experience

• ≥8 years leading validation teams planning, execution and maintaining project visibility.
• ≥10 years hands-on experience with Silicon/System bring-up, validation, and debug, including in customer systems.
• Thorough knowledge of high-speed protocols like PCIe, CXL, NVMe, or Ethernet.
• Deep understanding of High-Speed Signaling Principles and x86/ARM architecture, UEFI/Linux boot sequence.

The base salary range is $240,000 USD - $300,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. 

Role

We are looking for a Senior Product Manager, AI / Data Classification to join our Data Protection team. This is a hybrid role based in San Jose, CA (3 days onsite). While local candidates are preferred, we are open to remote candidates based on the West Coast for exceptional applicants. 

We’re looking for a Product Manager to lead data classification capabilities within a Data Security platform. You’ll own the end-to-end product strategy for discovering and classifying sensitive data across cloud, on-prem data stores and SaaS applications, turning classification outcomes into actionable risk reduction for security, privacy, and compliance teams.

What You’ll Do (Role Expectations)

• Partner closely with a focused engineering, data science/ML, design, sales, and customer success to deliver accurate, scalable classification, clear policy outcomes, and measurable customer value
• Own the classification taxonomy, labeling standards, and policy model (custom categories, confidence thresholds, inheritance, overrides, exceptions)
• Drive accuracy improvements by managing precision/recall targets, sampling strategies, tuning workflows, and customer feedback loops
• Set requirements for scanning at enterprise scale (billions of objects, large tables), optimizing cost, latency, and coverage
• Define how the platform combines pattern-based detectors, NLP/ML, and LLM-assisted classification for structured and unstructured data

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• Product Management experience, with meaningful ownership of data security/privacy products. Product management experience can be substituted with data science experience
• Demonstrated experience shipping products that use AI/ML and/or LLMs in production, with a strong understanding of data classification approaches across structured and unstructured data
• Expertise in evaluation and quality measurement for classification systems and building/maintaining golden datasets
• Ability to design human-in-the-loop workflows for high-stakes labels, covering review/approval, exception handling, and audit trails
• Experience driving cost/performance tradeoffs for AI at scale, including token/compute budgeting, model selection, and managing latency for large corporations

What Will Make You Stand Out (Preferred Qualifications)

• Strong technical collaboration skills with ML engineering and data science
• Familiarity with embedding-based similarity and semantic retrieval for classification and deduping (vector DBs, ANN indexing, chunking strategies)
• Prior work in DSPM/DLP/CASB/insider risk where false negatives have high blast radius and you have designed processes to manage that risk

#LI-KM9 #LI-hybrid

About the Role

We are looking for a Senior Platform Engineer to join the Workload team within the Veeam R&D Department. You will own critical observability infrastructure, drive incident response maturity, and help scale proactive support capabilities as operational accountability. 

What You’ll Do

• Design, build, and maintain observability pipelines using the Elastic Stack (Elasticsearch, Kibana, Fleet) across Azure and AWS workloads 
• Develop and own SLO/SLI dashboards and error budget reporting for BaaS platform services 
• Respond to and lead incident response for distributed, multi-tenant cloud workloads; own runbook creation, maintenance, and continuous improvement
• Build and refine proactive support tooling, including pattern analysis, tenant correlation dashboards, and baseline deviation alerting, to reduce reactive support burden 
• Manage and maintain Elastic Fleet agent policies, enrollment health, and log streaming pipelines across Azure and AWS worker fleets 
• Partner with SRE, R&D, and Proactive Support teams to close observability gaps, including tenant identification workflows and admin portal integrations 

Technologies we work with

• ⁠Elastic Stack — Elasticsearch, Kibana, Elastic Fleet, KQL, Query DSL
• Azure Kubernetes Service (AKS), Azure Container Apps, VMs
• Azure Security — Entra ID, Managed Identities (user/system assigned), App Registrations, Key Vault
• Infrastructure as Code — Azure Bicep, Terraform, or Pulumi
• CI/CD — Azure DevOps, GitHub Actions
• ITSM tooling — ServiceNow, Salesforce, Jira, Incident.io (for tenant and incident workflows) 

What You’ll Bring

• 5+ years of experience in cloud platform engineering, SRE, or infrastructure roles supporting commercial SaaS products
• Deep hands-on experience with Elastic Stack: Building dashboards, writing KQL/Query DSL, managing Fleet
• Proven experience operating and troubleshooting distributed, multi-tenant workloads on Azure and/or AWS
• Strong understanding of Azure cloud services: AKS, Entra ID, Key Vault, Service Bus, Cosmos DB, Private Endpoints, etc.
• Experience with incident response in production cloud environments, including runbook development and post-incident review
• Experience with IaC tools (Azure Bicep, Terraform) and CI/CD pipelines (Azure DevOps, GitHub Actions) 
• Strong scripting skills in Bash, Python, or PowerShell
• Ability to work cross-functionally with SRE, product, and customer-facing support teams 

Bonus Skills

• Familiarity with Veeam Data Platform products 

#LI-AA3

Job Title: Summer Camp Math Content Teacher/ Teaching Assistant

Location: San Jose & Los Altos (Silicon Valley), CA 

Job Type: Part Time / Full Time 

Intended Start Date: May -August 2026

About Think Academy:

Think Academy US (www.TheThinkAcademy.com), a 100% owned subsidiary of TAL Education Group (NYSE: TAL), is recently established education technology (Ed-Tech) company to provide PreK-12 extra-curricular learning services through science and technology. At Think Academy, we provide full cycle service to foster local children’s ability to think critically, to strengthen their logic skills, and to help them fulfill their goals through innovative teaching techniques. We believe Love and Technology can make education better. Each week, more than 6 million students are enrolled in TAL's online and offline education platform.

About This Role:

This is a part-time position designed for college students and entry-level professionals who are passionate in education and have the drive to grow into a future leader in education industry. The successful candidate will work alongside our Silicon Valley teaching team while also focusing on the operational aspects of our business.

You will have the resources to become a great math educator and provide world-class teaching services to PreK-6th graders of all levels. In order to foster a well-rounded leader in the education industry, this role will also give you the chance to participate in Think Academy's business functions including operations and marketing. This role is ideal for those wanting to become branch directors, department managers, and even a part of Think Academy's global expansion in emerging markets. 

We welcome applicants from all different backgrounds as no prior teaching-related experience is required. With the right mindset, this position will strengthen your teaching abilities and leadership competency and be a stepping stone to your goals in the education industry. 

Job Responsibilities: 

• Teach engaging lessons in English for elementary level mathematics to our students using Think Academy curriculum
  • Grade: Lower Elementary
  • Language: English
  • Format: In-person
• Create an inclusive and positive classroom environment that fosters a love of mathematics among a class of about 8-16 students 
• Identify and address individual learning needs by providing personalized assistance to students
• Homework grading as well as other related key teaching services
• Maintain open and proactive communication with parents/guardians regarding their child's progress, achievements, and areas of concern
  • Conduct parent-teacher conferences/meetings as needed to discuss student performance
  • Hold office hours and provide 1-on-1 help
• Foster a safe and respectful learning atmosphere for all students 
• Develop tailored mathematical learning plans for students based on their current abilities and goals, facilitating their enrollment in short-term or long-term courses
• Become education specialist in education field and support daily business operation as in marketing and business growth in the bay area

Requirements & Qualifications:

• Open to all majors- we provide training and professional growth!
• Strong knowledge and understanding of math concepts and problem-solving techniques.
  • Prior math teaching or general teaching experience is not required, but it is highly preferred. 
• Passionate about teaching and education industry, with a mission to provide better education to promote social development.
• Excellent communication and interpersonal skills to effectively engage with students, parents, and colleagues. 
• Proficiency in utilizing technology for instructional purposes.
• Can commit to at least one whole semester teaching without interruption (Spring semester: Jan - May; Summer: June - Aug; Fall semester: Aug - Dec)
• Responsible, reliable, and a team player to effectively collaborate with other teachers and staff.
• Patient, empathetic, and motivated to inspire students. 
• Available and willing to work from 6/9-6/13 and 8/4-8/15
• You must be authorized to work in the United States
• You must be able to commute to teach in-person at one of our San Jose Cupertino Campuses

Compensation & Benefits:

• $30/hour (teaching fee) + $20/hour (administrative fee)
• Gain hands on experience in an education driven environment
• Potential for future employment opportunities based on performance

Think Academy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. 

Job Title: Math Content Teacher + Business Operations Specialist  

Location: San Jose, CA 

Job Type: Full-Time, Contract

Intended Start Date: Mid October

About Think Academy:

Think Academy US (www.TheThinkAcademy.com), a 100% owned subsidiary of TAL Education Group (NYSE: TAL), is recently established education technology (Ed-Tech) company to provide PreK-12 extra-curricular learning services through science and technology. At Think Academy, we provide full cycle service to foster local children’s ability to think critically, to strengthen their logic skills, and to help them fulfill their goals through innovative teaching techniques. We believe Love and Technology can make education better. Each week, more than 6 million students are enrolled in TAL's online and offline education platform.

About This Role:

This is a full-time position designed for recent graduates and junior level professionals who are passionate in education and have the drive to grow into a future leader in education industry. The successful candidate will work alongside our Silicon Valley teaching team while also focusing on the operational aspects of our business.

You will have the resources to become a great math educator and provide world-class teaching services to PreK-9th graders of all levels. In order to foster a well-rounded leader in the education industry, this role will also give you the chance to participate in Think Academy's business functions including operations and marketing. This role is ideal for those wanting to become branch directors, department managers, and even a part of Think Academy's global expansion in emerging markets. 

We welcome applicants from all different backgrounds as no prior teaching-related experience is required. With the right mindset, this position will strengthen your teaching abilities and leadership competency and be a stepping stone to your goals in the education industry. 

Job Responsibilities: 

• Plan and execute teaching related activities which including
  • Teaching short-term and long-term group classes in classroom setting
  • Hold office hours and provide 1-on-1 help
  • Grade students' homework and assignments
• Develop tailored mathematical learning plans for students based on their current abilities and goals, facilitating their enrollment in short-term or long-term courses

Requirements & Qualifications:

• Open to all major - we provide training and professional growth program
• Ability to speak Mandarin is preferred.
• Previous experience teaching or tutoring students.
• Passionate about the education industry, and has the strong will to motivate and inspire students; must be patient and empathetic with working with students.
• Excellent organizational skills and has a strong sense of responsibility.
• A team player that is able to collaborate effectively with other teachers and staff.

Compensation & Benefits:

• H1B and OPT sponsorship available!
• starting at 70k- 80k + teaching commission -- Opportunity to earn up to $90,000 yearly in teaching hours!
• Enjoy benefits such has medical insurance and 401k
• Gain hands on experience in an education driven environment
• Potential for future employment opportunities based on performance

Think Academy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. 

Make your impact within a rapidly growing Fintech Company

Join BILL’s Strategy & Operations team as a Director, where you will partner with our Product organization to develop product strategy and ensure efficient execution of highest priority initiatives. This role will work closely with leadership of our Product organization, but will collaborate deeply with broader functions across BILL, including Engineering, Go-to-Market, Finance, and Data Analytics organizations to drive strong connective tissue between corporate priorities and day-to-day execution.  While the role is an individual contributor position, will lead work strategic work across Product and cross-functional teams and influence at the senior leadership level. The ideal candidate has strong business intuition, the ability to leverage a strategy toolkit to assess opportunities, exceptional organization and project management skills, and can effortlessly build relationships to influence and support stakeholders. Additionally, this work will contribute heavily to the ongoing development and execution of BILL’s AI vision, focused on unlocking market-leading value creation via agentic automation for our SMB customers and Accountant clients. 

Responsibilities:

• Lead the development and ongoing refinement of product strategy, ensuring tight alignment with BILL’s corporate priorities and long-term vision.
• Drive the operating rhythm for the Product Organization (e.g., OKRs, business reviews, planning cycles), creating clarity on goals, progress, and trade-offs.
• Lead comprehensive planning processes for the Software BU, ensuring alignment with long-term priorities while adapting to changing market and company conditions. Maintain a quarterly, annual / 18 month roadmap. 
• Structure and execute complex, cross-functional strategic initiatives—from problem definition through recommendation, implementation, and post-mortem learning.
• Analyze business, product, and customer data to generate insights, build robust models, and translate findings into clear recommendations for senior leaders.
• Craft executive-ready presentations and narratives that communicate strategy, performance, and key decisions to Product leadership and cross-functional stakeholders.
• Partner with Product, Engineering, GTM, and Finance to translate strategy into roadmaps, KPIs, and resourcing plans that enable efficient, high-impact execution.
• Advocate for data-driven decision-making across the organization, establishing robust frameworks for evaluating trade-offs and impact
• Serve as a visible leader and thought partner—creating structure for complex challenges and accelerating high-visibility initiatives

We’d love to chat if you have:

• 10+ years of experience, with direct expertise in both Strategy Consulting and at a company in a Product-related role (Strategy, Product Management, Business Operations, etc.); ideal candidate has 3+ years of direct experience working at a SaaS company
• Robust experience partnering closely with Product and Engineering leaders to shape strategy and drive cross-functional execution
• Deep familiarity with GenAI software offerings and experience scaling AI initiatives within software businesses 
• Demonstrated experience driving high-impact, strategic initiatives and influencing senior stakeholders through data-driven recommendations
• Robust experience partnering closely with Product and Engineering leaders to shape strategy and drive cross-functional execution
• Exceptional analytical and problem-solving skills, including comfort working with data to build models, size opportunities, and inform trade-off decisions
• Outstanding communication and influence skills, with a track record of creating executive-level materials and aligning senior stakeholders without formal authority.
• Ability to operate at both strategic and hands-on levels, thriving in ambiguity, driving structure, and proactively moving work from idea to impact.

Visa Sponsorship: Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

Role Overview

Are you passionate about driving strategic growth through impactful corporate development initiatives in the AI and cloud infrastructure space? Astera Labs is seeking a Manager of Corporate Development to lead and support strategic transactions including acquisitions, investments, and strategic partnerships that will shape the future of AI connectivity.

In this high-visibility role, you will report to the Head of Corporate Development and work closely with cross-functional teams including engineering, product management, and executive leadership to identify and evaluate opportunities that align with Astera Labs' long-term growth strategy. You will be at the forefront of emerging AI infrastructure technologies, developing new business models and driving transactions that accelerate our position as the leader in purpose-built connectivity solutions.

This is a unique opportunity to join a hyper-growth company at the intersection of semiconductors and AI infrastructure, where your work will directly influence strategic decisions and contribute to building the connectivity backbone powering the next generation of data centers.

Key Responsibilities

• Strategic Transaction Leadership

  • Lead and support corporate development transactions through all phases of the transaction lifecycle, from target identification through close
  • Partner with executive and engineering leaders to evaluate opportunities that address strategic gaps and conduct build/buy/partner analysis
  • Lead deal-oriented project management throughout the entire deal lifecycle, ensuring timely execution and stakeholder alignment

• Financial & Strategic Analysis

  • Conduct detailed financial analyses including valuation, pro forma modeling, and investment assessments to evaluate deal alignment
  • Develop executive presentation materials to provide recommendations to the leadership team and board
  • Research adjacent and new market opportunities, including opportunity sizing, target landscaping, and competitive analysis

• Cross-Functional Collaboration & Integration

  • Collaborate with cross-functional teams to drive diligence and validate key assumptions and value drivers
  • Oversee post-merger integration to ensure deals deliver long-term success and structural enhancement for the company
  • Define and continually enhance the company's strategy to acquire new business opportunities and partnerships

• Market Intelligence

  • Develop deep expertise in emerging AI infrastructure technologies, companies, and business models
  • Monitor industry trends and competitive dynamics to inform corporate development strategy

Basic Qualifications

• Bachelor's degree in Business Administration, Electrical Engineering, Computer Science, or related field
• 5+ years of experience in corporate development, investment banking, private equity, venture capital, or related roles
• Experience in the semiconductor, high-tech, or AI infrastructure industry
• Demonstrated experience leading strategic transactions and working with executive leadership
• Strong analytical skills with expertise in valuation, financial modeling, and strategic analysis
• Excellent communication and presentation skills with the ability to convey complex concepts clearly to diverse audiences

Preferred Qualifications

• MBA or advanced degree
• Direct experience with M&A transactions in the semiconductor or data center infrastructure space
• Knowledge of AI/ML infrastructure, PCIe, CXL, or Ethernet technologies
• Proven ability to collaborate effectively across engineering and business functions
• Experience with post-merger integration planning and execution
• Willingness to travel as needed for deals, company training, industry events, and conferences

Salary range is $140,400 to $195,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits.

Job Title: Part Time Math Teacher

Location: San Jose & Los Altos, CA 

Job Type: Part Time/ Full Time, Contractor

Intended Start Date: May 2025 

About Think Academy:

Think Academy US (www.TheThinkAcademy.com), a 100% owned subsidiary of TAL Education Group (NYSE: TAL), is recently established education technology (Ed-Tech) company to provide PreK-12 extra-curricular learning services through science and technology. At Think Academy, we provide full cycle service to foster local children’s ability to think critically, to strengthen their logic skills, and to help them fulfill their goals through innovative teaching techniques. We believe Love and Technology can make education better. Each week, more than 6 million students are enrolled in TAL's online and offline education platform.

About This Role:

This is a part-time position designed for college students and entry-level professionals who are passionate in education and have the drive to grow into a future leader in education industry. The successful candidate will work alongside our Silicon Valley teaching team while also focusing on the operational aspects of our business.

You will have the resources to become a great math educator and provide world-class teaching services to PreK-6th graders of all levels. In order to foster a well-rounded leader in the education industry, this role will also give you the chance to participate in Think Academy's business functions including operations and marketing. This role is ideal for those wanting to become branch directors, department managers, and even a part of Think Academy's global expansion in emerging markets. 

We welcome applicants from all different backgrounds as no prior teaching-related experience is required. With the right mindset, this position will strengthen your teaching abilities and leadership competency and be a stepping stone to your goals in the education industry. 

Job Responsibilities: 

• Teach engaging lessons in English for elementary level mathematics to our students using Think Academy curriculum
  • Grade: PreK-G6
  • Language: English
  • Format: In-person
• Create an inclusive and positive classroom environment that fosters a love of mathematics among a class of about 8-16 students 
• Identify and address individual learning needs by providing personalized assistance to students
• Homework grading as well as other related key teaching services
• Maintain open and proactive communication with parents/guardians regarding their child's progress, achievements, and areas of concern
  • Conduct parent-teacher conferences/meetings as needed to discuss student performance
  • Hold office hours and provide 1-on-1 help
• Foster a safe and respectful learning atmosphere for all students 
• Develop tailored mathematical learning plans for students based on their current abilities and goals, facilitating their enrollment in short-term or long-term courses
• Become education specialist in education field and support daily business operation as in marketing and business growth in the bay area

Requirements & Qualifications:

• Open to all majors- we provide training and professional growth!
• Strong knowledge and understanding of math concepts and problem-solving techniques.
  • Prior math teaching or general teaching experience is not required, but it is highly preferred. 
• Passionate about teaching and education industry, with a mission to provide better education to promote social development.
• Excellent communication and interpersonal skills to effectively engage with students, parents, and colleagues. 
• Proficiency in utilizing technology for instructional purposes.
• Can commit to at least one whole semester teaching without interruption (Spring semester: Jan - May; Summer: June - Aug; Fall semester: Aug - Dec)
• Responsible, reliable, and a team player to effectively collaborate with other teachers and staff.
• Patient, empathetic, and motivated to inspire students. 
• Available and willing to work during weekday later afternoon and weekends
• You must be authorized to work in the United States
• You must be able to commute to teach in-person at one of our San Jose Cupertino Campuses

Compensation & Benefits:

• Start at $40/hour (teaching fee) + $20/hour (administrative fee) 
• Enjoy benefits such has medical insurance and 401k
• Gain hands on experience in an education driven environment
• Potential for future full-time employment opportunities based on performance!

Think Academy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. 

What You’ll Do 

• Design, implement, and evaluate novel machine learning and deep learning algorithms, concentrating on Large Language Models (LLMs), automated speech recognition (transcription), and unified multimodal architectures. 
• Iterate on AI model development, starting from the data needed for training, architecture, input/output representations, evaluation, and deployment for complex sequence-to-sequence and multimodal tasks. 
• Collaborate with other research engineers to prototype and validate complex solutions from academic literature in natural language processing and speech. 
• Conduct experiments to benchmark new techniques and evaluate model behavior. 
• Develop tools and frameworks to support scalable and reproducible research and development. 
• Communicate research findings to leadership in a concise, and convincing manner. 
• Stay current with the latest developments in Generative AI and Speech/Language Models and identify relevant innovations. 
• Assist in transitioning research prototypes into production-ready systems. 

Minimum Education Requirement: Master’s degree in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.  

Minimum Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 3 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.  

Alternate Education Requirement: PhD in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics. 

Alternate Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 2 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.

Please apply online at: https://www.archer.com/careers. Must put job code SJ2026YM on resume/CV and cover letter. 

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are offering $240,000 to $252,000 per year.

#LI-DNF

As an Astera Labs Technical Lead Lab Validation Engineer, you will take a hands-on role to find the root cause of any customer quality concerns and develop corrective actions.  You will:

• Directly root-cause failures to the circuit, package, firmware, or protocol-level interactions.  Collaborate with design, validation, and system engineering teams as needed.
• Modify device firmware to test out engineering theories leading to potential fixes or production screens.
• Investigate failures such as link training issues, lane margining failures, eye closure, jitter sensitivity, protocol errors, and interoperability problems.
• Debug retimer specific failures, including pass-through path issues, clock forwarding problems, equalization settings, and link bring-up reliability.
• Analyze high speed link failures, including lane mapping, bifurcation errors, hot-plug issues, compliance test failures, and error propagation across multiple ports.
• Use advanced lab instrumentation (BERT, high-bandwidth oscilloscopes, protocol analyzers, VNAs, TDR, spectrum analyzers) to characterize and isolate failures.
• Develop and run stress tests and margining experiments to identify weak design or process corners.
• Provide feedback on system-level integration challenges for retimers and PCIe switches (e.g., board layout, equalization tuning, firmware interactions).
• Drive physical failure analysis to isolate and image defects using methods such as fault isolation, probing, de-processing, FIB, thermal/voltage stress testing.
• Document debug findings, propose design/process/test improvements, and contribute to FA methodologies.
• Participate in new product development process to ensure readiness for customer returns before products are launched. Collaborating in the development of evaluation hardware (boards and sockets, including FA friendly sockets) and scripts.

Basic qualifications:

• Minimum of a Bachelor’s in Electrical Engineering while a Master’s degree is preferred. 
• Minimum of 10 years relevant experience of which 5 years’ is hands-on mixed high-speed lab experience working with equipment such as protocol analyzers, BERT, real-time scopes, sampling scopes, TDR, and VNA.
• Python programming.
• Deep understanding of PCIe protocol (up through Gen6), retimer architecture, and SerDes signal integrity.
• Hands-on experience debugging retimers (equalization tuning, pass-through mode, clocking, reset/link sequencing).
• Hands-on experience debugging PCIe switches (lane bifurcation, hot-plug, multi-port link stability, compliance failures).
• Strong background in NRZ/PAM4 architectures, investigating issues with jitter, CDR/PLL behavior, equalization (DFE, CTLE, FFE), crosstalk, and power integrity.
• Experience in post-silicon validation and bring-up of high-speed PHYs or retimers.
• Solid problem-solving and analytical skills with ability to narrow down complex multi-layer failures.
• Strong written and verbal communication skills.

Preferred experience (ideal candidate has some of this, but OJT is also possible):

• C (not C++).
• Experience with optics.
• Experience with chip-level security and RAS features.
• ATE (Automated Test Equipment) Advantest V93K.
• Understanding of system-level architecture for servers, storage, and AI/ML platforms where PCIe retimers/switches are deployed.

Based in San Jose, this position requires an in-person presence, offering a unique opportunity to impact our global operations directly.

The base salary range is $160,000 USD - $195,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Role Overview 

Astera Labs is seeking an experienced and hands-on Principal Optical Reliability Engineer to drive reliability strategy across our cutting-edge portfolio of connectivity products, with a focus on silicon photonics and optical components. As AI infrastructure demands unprecedented bandwidth and performance, this role is critical to ensuring our products deliver exceptional reliability through end-of-life. 

You will lead reliability initiatives and serve as an internal consultant, defining and implementing methodologies across component, chiplet, photonic, and board-level products. This is a high-impact position where you'll partner closely with design, product/test engineering, quality, and manufacturing teams to embed reliability-aware principles. 

Key Responsibilities 

• Reliability Strategy & Methodology 
  • Develop and implement comprehensive design reliability methodologies for semiconductor circuits and optical systems, including pre-qualification, production release, ongoing reliability monitoring (ORM), and soft error evaluation 
  • Lead the application of advanced reliability modeling techniques to analyze trade-offs between performance and long-term product reliability 
  • Establish and refine usage models to guide design-phase reliability assessments and integrate learning from manufacturing and field return data in post-silicon validation 
• Failure Analysis & Root Cause 
  • Apply expert knowledge of semiconductor and optical reliability failure mechanisms, including Electrostatic Discharge (ESD), Latch-Up (LU), Soft Errors, Gate Oxide Time-Dependent Dielectric Breakdown (GOX TDDB), Electromigration, Device Aging, laser degradation, and photodetector wear-out 
  • Utilize a hands-on approach to comprehend silicon, photonic, and package-level failure mechanisms, collaborating seamlessly with internal and external teams to drive root cause analysis and resolution 
  • Evaluate qualification results for new product introductions and drive continuous improvement in design-for-reliability tools, processes, and organizational knowledge 
• Cross-Functional Collaboration & Vendor Management 
  • Collaborate across design, product engineering, manufacturing, and reliability teams to capture and institutionalize best practices that improve product robustness and reduce DPPM 
  • Serve as a subject matter expert helping design engineers incorporate reliability-aware design principles early in development 
  • Work closely with vendors to review and interpret component specifications, reliability data, and qualification reports, including Mean Time Between Failures (MTBF), failure-rate predictions, derating analysis, and stress test results 

Basic Qualifications 

• Master's degree in Electrical Engineering, Applied Physics, Photonics, or a related field 
• 8+ years of experience in semiconductor reliability, with direct experience in silicon photonics, optical components, or optoelectronic device reliability 
• Strong background in semiconductor physics, device modeling, and reliability verification techniques including statistical and probability techniques 
• Deep knowledge of advanced packaging technologies, including 2.5D, 3D, and chiplet architectures, as well as module and system board reliability 
• Working knowledge of electronic components/devices and their failure modes and mechanisms 
• Proven leadership in driving complex technical issues to closure across global, cross-functional teams 

Preferred Qualifications 

• PhD in Electrical Engineering, Applied Physics, or Photonics 
• Experience with silicon photonics reliability, including laser aging, photodetector degradation, and fiber coupling reliability 
• Knowledge of high-performance compute and AI cloud infrastructure, as well as switch/network interfaces 
• Experience with PCBA (printed circuit board assembly) design, fabrication, and validation testing 
• Strong experience in product reliability in the context of mechanical, thermal, and electrical stresses for modules and board assemblies 
• Excellent communication skills with the ability to articulate technical concepts clearly across all levels of the organization 
• Salary range is $185,000 to $230,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits. 

 Salary range is $185,000 to $230,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits. 

Overview

The mission of this role is to develop and execute electrical validation tests to quantify parametric device performance and margins over all system conditions. The validation team holds customers’ requirements in the highest regard and is solely responsible for certifying a product’s parametric conformance to this high bar. At Astera Labs, we are looking for motivated Principal Silicon Validation Engineers to work on our game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications. In this role you will formulate a comprehensive post-Silicon validation plan, automate the testing of ICs and board products, design experiments to root-cause unexpected behavior, report results and specification compliance, and work with key internal customers to quantify margins and ensure robustness.

Basic Qualifications:

• Strong academic and technical background in Electrical or Computer Engineering. At minimum, a Bachelor’s is required, and a Master’s is preferred.
• 10 + years' experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and prepare for internal meetings in advance, and to work with minimal guidance and supervision.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act with the customer in mind!
• Proven track record solving problems independently, executing validation plans for complex SoC designs. 

Required Experience:

• Experience leading SoC Debug and development for high-speed interfaces such as PCIe5, PCIe6 or PAM4 802.3 Ethernet.
• Familiarity with Electrical Compliance section of PCIe Base Spec and CEM Spec
• Working knowledge of key, high-speed design blocks such as PLL’s, DFE, Tx EQ, CDR, etc and concepts such as PAM4
• Experience in PRBS testing and optimization of high-speed PCIe data links over short, med, and long channels
• Strong python scripting ability: knowledge of object-oriented programming and basic dev ops using git for source control and collaboration
• Deep background in developing bench automation techniques, preferably using Python, with emphasis on execution efficiency, repeatability, and data analysis.
• Proficiency using high-speed lab equipment such as BERT, Oscilloscope, and VNA

Preferred Experience:

• Familiarity with PCIe/CXL compliance standards and ability to drive electrical compliance testing at industry workshops
• Hands-on experience with signal integrity, especially as it relates to PCIe testing, Channel Loss budgeting, and de-embedding
• Working knowledge of C or C++ for embedded FW, experience using git-based version control such as github
• Familiarity with PCIe standards and both NRZ and PAM-4 signaling
• Working knowledge of common serial data specifications such as I2C, SPI, etc
• Knowledge of simulation tools such as MATLAB, Keysight ADS, or PLTS for data analysis and modeling of electrical channel and signal integrity issues

The base salary range is $185,000 USD - $230,000 USD. Your base salary will be determined based on your experience and the pay of employees in similar positions. 

Overview

The mission of this role is to develop and execute electrical validation tests to quantify parametric device performance and margins over all system conditions. The validation team holds customers’ requirements in the highest regard and is solely responsible for certifying a product’s parametric conformance to this high bar. At Astera Labs, we are looking for motivated Senior Silicon Validation Engineer to work on our game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications. In this role you will formulate a comprehensive post-Silicon validation plan, automate the testing of ICs and board products, design experiments to root-cause unexpected behavior, report results and specification compliance, and work with key internal customers to quantify margins and ensure robustness. 

Basic Qualifications 

• Strong academic and technical background in Electrical or Computer Engineering. At minimum, a Bachelor’s is required, and a Master’s is preferred. 
• ≥3 years' experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications. 
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and prepare for internal meetings in advance, and to work with minimal guidance and supervision. 
• Entrepreneurial, open-mind behavior and can-do attitude. Think and act with the customer in mind! 
• Proven track record solving problems independently. 

Required Experience 

• Familiarity with DDR4/5 memory standards and DIMM configuration, experience in system testing, characterization, margin analysis and optimization 
• Working knowledge of key, high-speed design blocks such as PLL’s, DFE, Tx EQ 
• Strong python scripting ability: knowledge of object-oriented programming and basic dev ops using git for source control and collaboration 
• Deep background in developing bench automation techniques, preferably using Python, with emphasis on execution efficiency, repeatability, and data analysis. 
• Proficiency using high-speed lab equipment such as BERT, Oscilloscope/high-speed probe, and VNA 

Preferred Experience 

• Hands-on experience with signal integrity, especially as it relates to multi-rank DDR and DDR termination schemes 
• Working knowledge of C or C++ for embedded FW 
• Familiarity with PCIe/CXL compliance standards and ability to drive electrical compliance testing at industry workshops 
• Experience working with DRAM memory vendors on DDR4 or DDR5 to identify issues and working with internal SoC HW/FW teams to improve memory calibration and tuning sequences 
• Working knowledge of common serial data specifications such as I3C, I2C, SPI, etc 
• Knowledge of memory subsystem compliance and RAS is a plus. 
• Knowledge of schematic capture and PCB layout tools from Cadence, Altium, etc. 
• Knowledge of simulation tools such as MATLAB, Keysight ADS, PLTS for data analysis and modeling of signal integrity issues. 

Role Overview As a Sr. Principal DSP Architect, you will be the technical visionary leading the definition and development of next-generation Digital Signal Processing (DSP) architectures. Your focus will be on high-speed PAM4 (Pulse Amplitude Modulation 4-level) systems and coherent/direct-detect optical transceivers. You will bridge the gap between theoretical communications theory and silicon implementation, driving the roadmap for 800G, 1.6T, and beyond.

Key Responsibilities

• Architectural Leadership: Lead the definition of DSP micro-architecture for high-performance ASICs, focusing on low-power, high-throughput data paths.
• Algorithm Development: Design, model, and simulate advanced DSP algorithms for:
• Adaptive Equalization (FFE, DFE, MLSE).
• Forward Error Correction (FEC).
• Clock and Data Recovery (CDR).
• Chromatic Dispersion (CD) and Polarization Mode Dispersion (PMD) compensation.
• Modeling & Simulation: Develop bit-accurate and performance-accurate models using Python, MATLAB, or C++ to validate architectural choices against Bit Error Rate (BER) targets.
• Cross-Functional Collaboration: Work closely with Analog Mixed-Signal (AMS) designers to optimize the ADC/DAC interface and with RTL teams to ensure power-efficient hardware implementation.
• Performance Trade-offs: Conduct rigorous Power, Performance, and Area (PPA) analysis to balance complex DSP requirements with the thermal and size constraints of optical modules (e.g., QSFP-DD, OSFP).
• Standards Contribution: Represent the company in industry standards bodies (IEEE 802.3, OIF) to influence future optical communications protocols.

Required Qualifications

• Education: PhD or MS in Electrical Engineering, Communication Theory, or a related field.
• Experience: 12+ years of experience in DSP design, specifically for high-speed SerDes or optical communications.

Technical Deep Dive:

• Expertise in PAM4 signaling and the associated challenges (non-linearity, SNR requirements).
• Deep understanding of Digital Filter Design (FIR, IIR) and adaptive signal processing.
• Experience with high-speed ADC/DAC architectures and their impact on DSP performance.
• Tooling: Proficiency in MATLAB/Simulink, Python (NumPy/SciPy), and SystemC.
• Silicon Success: A proven track record of taking complex DSP architectures from concept through tape-out to high-volume production.

Preferred Skills

• Experience with Coherent Optical technologies (QAM, polarization multiplexing).
• Knowledge of Machine Learning applications in DSP for non-linearity compensation.
• Familiarity with hardware description languages (Verilog/SystemVerilog) and the synthesis flow

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Figure AI is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

Our goal is to create embodied AI systems that can perceive the world through pixels, reason over memory, and reliably execute complex tasks over minutes to hours in real environments. We are looking for a Helix AI Engineer, Agentic Systems experienced in building multimodal reasoning systems—agents that operate autonomously from raw sensory input, maintain episodic memory, plan over long horizons, and execute reliably within structured evaluation harnesses, e.g. pixels-to-actions computer use agents. This role focuses on developing the agent architectures and infrastructure that enable robots to function as persistent, reliable embodied agents in the real world.

Responsibilities

• Design, train, and deploy multimodal agents that operate autonomously for hours to days
• Build agents that reason from raw sensory inputs (pixels, environment state, proprioception) to structured actions
• Implement episodic memory systems for persistent state, retrieval, and long-horizon reasoning
• Develop planning, reasoning, and tool-use mechanisms for multi-step task execution
• Build reliable perception → reasoning → action loops with strong stability and failure recovery
• Design evaluation harnesses, benchmarks, and metrics to measure agent reasoning, planning, and reliability
• Design and run data studies across the training lifecycle, including pretraining, mid-training, and post-training
• Apply reinforcement learning, reward modeling, and post-training techniques to improve agent reasoning and reliability in real-world environments
• Develop evaluation frameworks and benchmarks to measure robot reasoning, planning, and task success across diverse scenarios
• Build infrastructure for scalable model training, distributed experimentation, and agent evaluation
• Work closely with other teams to integrate agent models into the full humanoid autonomy stack

Requirements

• Experience building autonomous agents that run continuously and complete multi-step tasks
• Experience developing agents that reason from pixel inputs or raw environment observations
• Experience implementing agent memory, planning, reasoning, or tool-use systems
• Experience training or fine-tuning multimodal or foundation models
• Strong proficiency in Python and modern deep learning frameworks (e.g., PyTorch)
• Strong experimental rigor and ability to design, analyze, and iterate on ML systems
• Strong software engineering skills and ability to build reliable, maintainable systems
• Ability to work independently and own complex technical problems end-to-end

Bonus Qualifications

• Experience with embodied AI, robotics learning, or robot policy training
• Experience building multimodal foundation models (vision-language or vision-language-action)
• Background in agentic AI systems or long-horizon planning architectures
• Experience working with large-scale distributed training systems
• Publication record in machine learning, robotics, or embodied AI
• Passion for building autonomous humanoid robots that operate in the real world

The US base salary range for this full-time position is between $150,000 - $350,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Job Title: Enrichment Program Math Teacher

Location: San Jose, CA (Cupertino/Los-Altos ) 

Job Type: Full-Time ( 40 hours per week ) 

Intended Start Date: May 2026

About Think Academy:

Think Academy US (www.TheThinkAcademy.com), a 100% owned subsidiary of TAL Education Group (NYSE: TAL), is recently established education technology (Ed-Tech) company to provide PreK-12 extra-curricular learning services through science and technology. At Think Academy, we provide full cycle service to foster local children’s ability to think critically, to strengthen their logic skills, and to help them fulfill their goals through innovative teaching techniques. We believe Love and Technology can make education better. Each week, more than 6 million students are enrolled in TAL's online and offline education platform.

About This Role:

This is a full-time position designed for recent graduates and class of 2026 who are passionate in education and have the drive to grow into a future leader in education industry. The successful candidate will work alongside our Silicon Valley teaching team while also focusing on the operational aspects of our business.

You will have the resources to become a great math educator and provide world-class teaching services to PreK-9th graders of all levels. In order to foster a well-rounded leader in the education industry, this role will also give you the chance to participate in Think Academy's business functions including operations and marketing. This role is ideal for those wanting to become branch directors, department managers, and even a part of Think Academy's global expansion in emerging markets. 

We welcome applicants from all different backgrounds as no prior teaching-related experience is required. With the right mindset, this position will strengthen your teaching abilities and leadership competency and be a stepping stone to your goals in the education industry. 

Job Responsibilities: 

• You will be assigned to grade department (lower / higher/ middle school)
• Plan and execute teaching related activities which including
  • Teaching short-term and long-term group classes in classroom setting
  • Hold office hours and provide 1-on-1 help
  • Grade students' homework and assignments
• Develop tailored mathematical learning plans for students based on their current abilities and goals, facilitating their enrollment in short-term or long-term courses

Compensation & Benefits

• Annual package: $70,000 – $90,000 (includes teaching  semesterly performance bonus, and administrative rate)

• Performance bonus: up to 15–30% each semester

• Supportive team environment and professional development

Sample Schedule

- Teach 6–7 classes (12–14 hours/week) to start
- Weekday office hours (Wed–Fri morning) for prep, training, parent/student communication/ team meetings
- Weekday afternoon 4:00 pm teaching
- Weekend teaching (Sat–Sun)

Requirements & Qualifications:

• Open to all major - we provide training and professional growth program
• Previous experience teaching or tutoring students will be a plus but not required
• Passionate about the education industry, and has the strong will to motivate and inspire students; must be patient and empathetic with working with students and parents
• Excellent organizational skills and has a strong sense of responsibility.
• A team player that is able to collaborate effectively with other teachers and staff.
• Must have valid work authorization to start (no sponsorship for this position)

Think Academy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. 

We are looking for a Lead RTL Design Engineer to own microarchitecture definition and RTL implementation across the dataflow execution fabric, memory subsystem, on-chip interconnect/NoC, low-power logic, and standard peripheral IP (RiscV, NVM, I2S, I2C) integration. You will work from architecture spec through synthesis-ready RTL, collaborating with architects, microarchitects, DV leads, physical design, and firmware teams to tape out an industry leading power-efficient SoC.

This is a unique opportunity to be a part of a newly formed HW engineering org and have an influence on our products and processes as we move from the initial stages of product development to market release and scaled volume production.  Join our team and help us shape the future of computing at the edge and beyond!

Key Responsibilities 

• Microarchitecture definition (core focus): Own the design and definition of processor and compute-unit microarchitecture, including dataflow pipelines, execution units, and interfaces. Set performance, power, and area targets, and guide the team toward achieving them.
• On-chip interconnects and system integration: Define and drive the design of on-chip networks and data movement across the fabric, balancing performance, scalability, and implementation constraints in collaboration with physical design.
• Memory subsystem & system architecture: Define the interface to the memory subsystem, including data movement, ordering, and synchronization behavior, ensuring a clean and scalable model for software and future system expansion.
• Reconfiguration and execution model: Lead the architecture of configuration, scheduling, and execution of workloads on the fabric, including multi-kernel support and interaction with host systems.
• Power management and low-power design: Drive power architecture across the design, including clocking, reset, power domains, and low-power strategies to meet aggressive energy and efficiency goals.
• HW/SW co-design: Collaborate closely with compiler and software teams to define the hardware execution model, ensuring efficient mapping of workloads onto the architecture.

Specifications, Documentations and Reviews: Author and own uArch specification documents for assigned blocks; drive design reviews with architecture, compiler, DV, and physical design stakeholders.

• Mentoring and process improvement: Mentor senior and junior RTL engineers; review RTL, flag microarchitecture risks, and enforce coding style and lint-clean standards across the team.
• Driving PPA Metrics: Participate in PPA analysis loops: synthesize blocks regularly, review area/timing/power reports, and make data-driven tradeoffs against performance and feature requirements.
• DV Collaboration: Collaborate with DV leads to define/review verification plans; provide directed test scenarios for graph execution corner cases, back-pressure conditions, and power state transitions.
• Silicon Bring-up: Support silicon bring-up: contribute scan/ATPG guidelines, review DFT insertion, and provide RTL-level debug assistance during lab validation.

Required Qualifications & Experience

• 8+ years of RTL design experience with tape-out ownership of dataflow based design, on chip networks, memory subsystems  or peripheral integration on a processor or accelerator SoC.
• Deep proficiency in SystemVerilog for RTL — synthesis-clean, lint-clean, timing-aware; able to design complex state machines, arbiters, token flow controllers, and datapath logic from scratch.
• Solid understanding of parallel execution models: dataflow, SIMD, or systolic array architectures; familiarity with the hardware challenges of token-based firing-rule evaluation and producer-consumer synchronization.
• Hands-on experience with on-chip memory design: SRAM wrappers, scratchpad/TCM, banking, and memory-mapped register interfaces.
• Experience with low-power RTL techniques: UPF-driven flows, clock gating, power domains, retention registers, and AON wakeup logic.
• Familiarity with at least one standard on-chip bus protocol (AXI, AHB, APB, TileLink, or NoC equivalent) at the RTL implementation level.
• Experience taking RTL through synthesis and timing closure; ability to read and act on SDC constraints, STA reports, and synthesis QoR summaries.
• Strong written communication skills; able to produce uArch specs and design review material independently.
• Experience with memory compiler toolchains

Desired Qualifications & Experience Requirements 

• Prior RTL ownership of a dataflow engine, neural processing unit (NPU), or streaming DSP architecture with explicit producer-consumer token management.
• Experience collaborating with compiler or graph-optimization teams to co-design hardware execution models and graph IR representations.
• Familiarity with NVM controller RTL (MRAM, RRAM) including ECC, program/erase sequencing, and model weight storage use cases.
• Experience with IoT-class power budgets (sub-10 mW active, sub-100 µW standby) and the RTL design choices they necessitate.
• Familiarity with functional safety standards (ISO 26262, IEC 61508) as applied to execution fabric error detection and power domain isolation.
• Exposure to AI framework graph formats (ONNX, TFLite) and understanding of how graph compilation maps to hardware execution primitives.
• Tape-out credits on an edge-AI, IoT, or wearable SoC at 12nm or below.
• Experience with formal verification of flow-control logic, deadlock freedom, or bus protocol compliance.

We offer a competitive salary for this role, generally ranging from $160,000 to $250,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate.

We are looking for a heavy-hitter to build the "Data Backbone" of our company. You will be responsible for the architecture, scaling, and reliability of the infrastructure that powers our Data Engineering and ML teams. Your goal is to provide a seamless, self-service environment where data scientists can go from a JupyterHub notebook to a massive Ray cluster or Trino query without worrying about the underlying hardware.

Responsibilities

• Data Plane Ownership: Architect and manage the lifecycle of high-throughput data tools including Trino, Ray, and JupyterHub on Kubernetes.
• GitOps & Automation: Drive a "zero-manual-touch" philosophy using ArgoCD and Terraform to manage complex, stateful data environments.
• Observability at Scale: Build high-cardinality monitoring systems using VictoriaMetrics and Vector to track pipeline health, data ingestion rates, and system performance.
• ML Lifecycle Support: Maintain and optimize MLflow for model tracking, ensuring it integrates deeply with our compute and storage layers.
• Engineering Sovereignty: As a self-starter, you will identify performance bottlenecks in data processing and proactively implement infrastructure-level optimizations.
• Reliability: Participate in on-call rotations for the data stack, treating "data downtime" with the same urgency as a site outage.

The Technical Toolkit

Qualifications:

• The "Data-Aware" Engineer: You understand that scaling a database or a Ray cluster is different from scaling a stateless API. You know how to handle persistent volumes and data gravity.
• Senior Leadership: You’ve spent time in the trenches. You’ve been on-call for 2:00 AM outages and have built the automation to ensure those outages never happen twice.
• Tooling Polyglot: You don't just use tools; you contribute to them. You are comfortable writing Go or Python to extend Kubernetes Operators or automate data workflows.
• Self-Directed: You thrive in ambiguity. You can take a high-level requirement ("Make Trino faster") and turn it into a multi-week infrastructure roadmap.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $182,400 - $228,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

We are seeking a highly motivated and experienced Senior FinOps Engineer to join our team. This role is central to managing, optimizing, and forecasting our technology spending across multiple platforms, including major cloud providers, monitoring tools (like Datadog), and emerging technologies such as Large Language Models (LLMs). The ideal candidate will possess a strong blend of financial acumen, cloud engineering expertise, and excellent communication skills to drive cost-conscious decision-making across the organization.

Responsibilities

Financial Management and Optimization

• Monitor, analyze, and report on technology spending across various cost centers, including cloud infrastructure (AWS, Azure, GCP, etc.), Datadog licensing, and usage of LLM APIs/services.
• Develop and maintain detailed monthly financial reports and dashboards for leadership, providing clear insights into spend trends, variances, and optimization opportunities.
• Collaborate with engineering and product teams to implement cost-saving initiatives, such as identifying underutilized resources, negotiating reserved instance commitments, and optimizing service architectures.
• Establish and track key FinOps metrics (e.g., unit cost, utilization rate, efficiency gains) and drive accountability for spending.
• Conduct monthly deep-dive analyses on significant cost drivers, making actionable recommendations for adjustment and optimization.

Tooling, Reporting, and Automation

• Administer and configure FinOps tools and platforms to ensure accurate cost allocation, showback/chargeback mechanisms, and real-time visibility into spending.
• Develop and maintain custom scripts and automation workflows to enforce spending policies and manage resource lifecycles (e.g., auto-shutdown of non-production environments).
• Standardize and streamline reporting processes, leveraging data visualization tools to present complex financial data simply and effectively.

Vendor and Contract Management

• Assist in the evaluation, negotiation, and renewal processes for technology contracts, including cloud enterprise agreements, Datadog licenses, and LLM service subscriptions.
• Work closely with procurement and legal teams to ensure contracts align with business needs and financial objectives, focusing on optimal pricing and usage tiers.
• Monitor vendor performance against contractual agreements and track realization of anticipated savings.

Governance and Education

• Establish and champion FinOps best practices and governance frameworks across engineering and finance teams.
• Develop and deliver training and documentation to educate teams on cost management tools, cloud pricing models, and optimization techniques.
• Act as a central point of contact for all cloud, Datadog, and LLM spending inquiries.

Qualifications

Required Skills and Experience

• 3+ years of experience in a FinOps, Cloud Financial Management, or similar role.
• Deep understanding of major public cloud billing and pricing models (AWS, Azure, or GCP).
• Proven ability to build and maintain comprehensive financial reports and dashboards for executive leadership.
• Experience administering or utilizing cost monitoring and observability tools, with specific knowledge of Datadog usage/licensing preferred.
• Proficiency in data analysis tools (e.g., SQL, Python, Excel) and data visualization platforms (e.g., Tableau, Power BI, Looker).
• Familiarity with contract negotiation principles and vendor management processes.
• Strong communication skills, with the ability to translate technical cost data into clear business terms.

Desired Qualifications

• FinOps Certified Practitioner (FOCP) or FinOps Certified Professional certification.
• Experience managing costs related to machine learning, AI, or LLM services (e.g., OpenAI, Anthropic, or cloud-native LLM services).
• Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and their role in cost governance.
• Bachelor’s degree in Computer Science, Finance, Business, or a related quantitative field.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications. 

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

As a Senior DevOps Engineer, you will be a key contributor to our infrastructure strategy, focusing on automation, stability, and performance across both cloud and on-premise environments. You will drive best practices in CI/CD, configuration management, and monitoring, with a specific focus on optimizing the deployment and operation of large language models (LLMs) and related technologies.

Responsibilities

• Design, deploy, and manage highly available, scalable infrastructure using Kubernetes and Docker across public cloud (e.g., AWS, GCP, Azure) and on-premise data centers.
• Develop and maintain robust Configuration Management solutions (e.g., Ansible, Terraform) for consistent environment provisioning and management.
• Implement and manage CI/CD pipelines to facilitate rapid, reliable, and automated software releases.
• Administer and troubleshoot operating systems, encompassing both Linux and Windows environments.
• Implement and optimize observability practices using monitoring tools like Datadog for logging, tracing, and alerting.
• Spearhead the operational deployment, scaling, and maintenance of LLM infrastructure, leveraging tools like LiteLLM, OpenRouter, or similar LLM orchestration/gateway technologies.
• Automate repetitive tasks and system operations using scripting languages, primarily Bash and Python.
• Collaborate closely with development, MLOps, and security teams to ensure infrastructure supports product requirements and compliance standards.
• Participate in an on-call rotation to ensure service reliability and responsiveness to incidents.

Qualifications

Required Skills

• 5+ years of professional experience in a DevOps, SRE, or infrastructure engineering role.
• Deep expertise in containerization and orchestration, specifically Kubernetes (design, deployment, and troubleshooting) and Docker.
• Strong proficiency in managing infrastructure in both Cloud (e.g., AWS, GCP, Azure) and On-Premise environments.
• Expert-level administration skills in Linux and strong working knowledge of Windows Server environments.
• Proven experience with Infrastructure as Code (IaC) and Configuration Management tools (e.g., Terraform, Ansible).
• High proficiency in scripting and automation using Python and Bash.
• Extensive experience with monitoring and observability platforms, especially Datadog (or comparable tools like Prometheus/Grafana, New Relic).
• Hands-on experience deploying and managing technologies related to Large Language Models (LLMs), such as utilizing LiteLLM, OpenRouter, or setting up and managing LLM serving endpoints.

Nice-to-Have Skills

• Experience with specific Kubernetes distributions (e.g., K3s, Rancher, OpenShift).
• Familiarity with network configuration, firewalls, and security best practices for hybrid environments.
• Experience in MLOps workflows and related tools (e.g., MLflow, Kubeflow).
• Certifications such as CKA, CKAD, or relevant cloud provider certifications.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Location: San Jose, CA (Hybrid/Onsite)

Job Type: Full-Time 

Location: 1245 S Winchester Blvd, San Jose

Intended Start Date: ASAP

About Think Academy

Think Academy US (www.TheThinkAcademy.com), is recently established education technology (Ed-Tech) company to provide K-12 extra-curricular learning services through science and technology. At Think Academy, we provide full cycle service to foster local children’s ability to think critically, to strengthen their logic skills, and to help them fulfill their goals through innovative teaching techniques. We believe Love and Technology can make education better!

About This Role

We are seeking a high-caliber Middle & High School Program Designer to lead our "Credit for Advancement" initiative across California. Your core objective is to ensure Think Academy’s Middle and High School math courses are recognized for official academic credit by California school districts.

You will navigate the complexities of the UC A-G approval process, lead WASC/Cognia accreditation efforts, and design the instructional infrastructure (curriculum and teacher training) required to meet California’s rigorous secondary education standards.

1. California Standards Alignment & Curriculum Design

• Audit and adapt Think Academy’s secondary math curriculum to ensure 100% alignment with the California Common Core State Standards (CA CCSS) and the California Mathematics Framework.
• Lead the submission and maintenance of courses for UC A-G approval, ensuring our curriculum meets the requirements for California college entrance.
• Develop comprehensive course catalogs, instructional materials, and assessment rubrics that satisfy the "Evidence of Rigor" required by California public and private school systems.

2. State-Wide Accreditation & Compliance

• Direct the institutional accreditation process for the California region (specifically WASC and Cognia), managing self-studies, site visits, and annual reporting.
• Act as the subject matter expert on California Education Code regarding Credit by Examination and Alternative Credit Options.
• Standardize transcript generation and student record-keeping to ensure seamless credit transferability to California school district SIS (Student Information Systems).

3. Accredited Teacher Training & Certification

• Design a "California Professional Standards" training program for our instructional staff, focusing on differentiated instruction and state-aligned pedagogical techniques.
• Establish and monitor teacher evaluation frameworks required by accreditation bodies to maintain high instructional quality.
• Oversee the professional development (PD) hours and certification tracking for our secondary school faculty.

4. Institutional Relations & California Parent Advocacy

• Build strategic partnerships with California School Districts (LEAs) to establish formal Memorandums of Understanding (MOUs) for credit recognition.
• Empower parents across California by creating "Credit Advancement Guidebooks" and hosting webinars on how to navigate the credit transfer process with school counselors.
• Provide direct advocacy support for students seeking to place into advanced math tracks using Think Academy credits.

• Educational Background: Master’s degree in School Administration, Curriculum & Instruction, or a related field.
• Regulatory Knowledge: Deep expertise in California secondary education requirements, including UC A-G, WASC accreditation, and CA CCSS.
• Bilingual Proficiency: Professional working proficiency in English is required.
• Strategic Communication: Proven ability to negotiate with school district administrators, registrars, and department chairs.

• Prior experience as a California School Principal, Assistant Principal, or Registrar.
• Direct experience leading a school through a successful WASC accreditation cycle.
• Existing network within major California school districts (e.g., LAUSD, SFUSD, San Jose Unified).

• Pioneering Work: You will define the standard for how supplemental Ed-Tech programs integrate with the California public school system.
• Scalability: While starting in California, your work will serve as the blueprint for our national accreditation strategy.
• Professional Prestige: Lead a high-visibility project that combines policy, curriculum design, and institutional leadership.

• Total Compensation Package: $95,000 - $120,000
• Includes Base Salary + Performance Bonus + Optional Teaching Compensation
• 401k and Comprehensive Health, Vision, and Dental Insurance.
• H1B Sponsorship available for eligible candidates.
• Relocation Allowance available for candidates moving to the Bay Area.

Think Academy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. 

Who We Are

About The Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.

About The Role

The Foundation Model Team focuses on building large-scale foundation models for multi-agent behavior prediction and autonomous vehicle planning. By leveraging DiDi Voyager’s unparalleled driving data, we train highly robust and generalizable deep learning systems that enable safe and intelligent autonomous driving at scale.

Our models serve as the core intelligence of the autonomous driving stack, enabling vehicles to understand complex traffic scenarios, anticipate agent behavior, and make safe and efficient driving decisions.

We operate at the intersection of large-scale machine learning, autonomous driving, and foundation model research, pushing the frontier of multi-agent prediction and planning.

Responsibilities

As a member of the Foundation Model Team, you will:

• Design and train large-scale deep learning models for:

• Multi-agent trajectory prediction

• Behavior and intent prediction

• Planning and decision-making

• Build foundation model architectures (Transformers, Diffusion, Flow-based models, Decision models, VLM/VLA)

• Develop scalable training pipelines across hundreds to thousands of GPUs

• Work with massive real-world datasets and build high-quality data pipelines

• Optimize models for latency, reliability, and on-vehicle deployment

• Collaborate closely with perception, mapping, simulation, and systems teams

• Drive research ideas into production systems used by real autonomous vehicles

Qualifications

• Strong background in machine learning, deep learning, or robotics

• Experience with PyTorch / JAX / TensorFlow

• Solid understanding of modern neural architectures (transformers, diffusion, auto-regressive)

• Strong coding skills in Python and C++

• Passion for building real-world, safety-critical AI systems

Preferred Qualifications 

• BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related field

• Experience in autonomous driving, robotics, or embodied AI

• Experience training large models on distributed GPU clusters

• Experience with trajectory prediction, planning, or decision-making systems

• Publications in top ML / robotics conferences (NeurIPS, ICML, ICLR, CVPR, RSS, CoRL, etc.)

The base salary range for this position is $129,189-$247,038 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

Archer is looking for a Lab Architect to lead the design, development, and long-term evolution of our eVTOL integrated Lab ecosystem, including Iron Bird platforms, Hardware-in-the-Loop (HIL) environments, and full-system simulation and test infrastructure. This role is a combination of long term vision and hands-on development, building the technical foundations of how our aircraft systems are tested—from early prototyping through FAA certification.

The ideal candidate brings deep experience in building complex aerospace test labs, integrating real-time simulation environments, and guiding multidisciplinary teams through system integration and regulatory processes. In addition, this role will drive next-generation automation and AI-assisted workflows to enhance testing efficiency, and scalability.

What you'll do: 

• Architect the overall integrated lab ecosystem, including Iron Birds, HILs, and multiple system benches.
• Define the lab-wide simulation architecture, integrating aircraft systems and simulation models and associated HW into a cohesive real-time environment.
• Define the physical, electrical, networking, and computational infrastructure for labs
• Lead cross-functional design reviews for new test platforms or updates to existing platforms.
• Improve configuration management  and traceability aligned with certification needs.
• Collaborate with certification authorities during for-credit testing, audits, lab inspections, and test method reviews.
• Create a long-term roadmap to embed AI, ML, and automation into the lab ecosystem, including: automated  test execution, automated data pipelines, and results classification
• Provide technical mentorship and guide architectural decisions across all lab programs.
• Drive CI/CD, and DevOps best practices into labs

What you need:

• Bachelor’s or Master’s in Aerospace Engineering, Electrical Engineering, Systems Engineering, Computer Engineering, or related field.
• 15+ years experience building aerospace test labs.
• Expertise with real-time simulation environments (dSPACE, NI VeriStand).
• Proficiency in C/C++/Python/Matlab/Simulink.
• Proven experience architecting complex test infrastructure (electrical, networking, computing, control interfaces).
• Strong understanding of aircraft system integration.
• Familiarity with FAA certification processes and standards (DO-178C, ARP4754A/4761).
• Demonstrated ability to lead cross-functional design teams and large-scale technical programs.
• Capable of setting long-term technical vision while remaining execution-focused.
• Excellent communication skills with ability to interface with all levels of the organization.

Bonus Qualifications:

• Experience specifically with eVTOL, or hybrid-electric aircraft.
• Background implementing AI/automation in engineering or test environments.
• Experience with Model-Based Design

At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that support the Company's strategy. For this position, we are targeting a base pay range of $245,000 - $310,000. Actual compensation offered will be determined by job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

We are looking for a Lead Staff Data Scientist to join the Marketplace Quality Engineering (MQE) team. MQE is a cross-functional team responsible for the integrity, performance, and trustworthiness of The Trade Desk’s inventory marketplace. We build systems that detect and prevent fraud, measure and improve inventory quality, and optimize marketplace dynamics to deliver better outcomes for advertisers, publishers, and consumers. 

In this role, you will provide technical and strategic leadership within MQE by defining data science roadmap and execution plans, owning end-to-end development of advanced modeling, analytical, and measurement systems, and partnering closely with engineering, product, and business leaders to translate complex requirements into trusted, scalable solutions. 

WHAT YOU’LL DO 

Technical Ownership 

• Own the data science vision and roadmap for MQE initiatives, aligning technical direction with strategic goals and industry trends. 

• Design, build, and productionize statistical and machine learning models to detect fraud, invalid traffic, and low-quality inventory in adversarial, large-scale environments. 

• Define and maintain metrics, experimentation procedures, and monitoring systems to ensure long-term performance. 

• Develop analytical and explainability frameworks that provide clear visibility into how quality initiatives impact inventory supply, advertiser spend, and marketplace dynamics. 

Cross-Functional Impact 

• Collaborate with product and business stakeholders to translate analytical insights into clear, defensible decisions and marketplace enforcement strategies. 

• Partner closely with engineering to deploy scalable, performant models. 

• Anticipate emerging marketplace risks and proactively develop data-driven solutions to protect marketplace integrity. 

Leadership & Mentorship 

• Act as a staff-level technical leader, setting standards for analytical rigor, model evaluation, and scientific best practices across MQE. 

• Mentor and develop data scientists through design reviews, technical guidance, and career coaching. 

• Influence technical direction across teams by driving alignment, knowledge sharing, and a culture of high-quality decision-making. 

WHO WE ARE LOOKING FOR 

• Advanced degree (MS or PhD) in a quantitative field such as Statistics, Computer Science, Economics, Applied Math, Operations Research, or similar. 

• 7+ years of experience working in a DS role that involves bringing products from ideation to production. 

• Deep expertise in statistical modeling, machine learning, and large-scale data analysis. 

• Strong understanding of experimentation, causal inference, and metric design in complex systems. 

• Familiarity with large-scale data and ML tooling (e.g. Spark, distributed training, real-time inference systems). 

• Proven ability to lead ambiguous, high-impact projects end-to-end as a senior individual contributor. 

• Excellent communication skills and the ability to influence across organizational boundaries. 

• Experience in programmatic advertising and/or real-time auctions is a plus. 

• Track record of mentoring senior data scientists and shaping team-level technical direction is a plus.