Ai Infrastructure Systems Engineer Jobs

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling) and evaluation. This role is on the evaluation pod within the GenAI Research Organization and will focus on building benchmarks and diagnosing model failure modes in both text and multimodal modalities. In this role, you will develop rigorous evaluations and diagnostic methods that reveal where frontier models fail and why. You will collaborate with researchers and engineers to define best practices in evaluation-driven AI development. You will also partner with top foundation model labs to translate failure analysis into technical and strategic input on the next generation of generative AI models. You will: Analyze model behavior to identify, characterize, and diagnose failure modes in frontier LLMs and Agents. You’ll identify everything from capability gaps and reasoning errors to robustness and alignment issues, all focusing on RCA. Design and build benchmarks and evaluation methods that measure LLM capabilities in both text and multimodal modalities. Apply post-training expertise (SFT, RLHF, reward modeling) to connect observed failures to the data and training interventions that address them. Publish research findings in top-tier AI conferences. Ideally you’d have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning, and with LLM evaluation or benchmark development. Excellent written and verbal communication skills. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals. Previous experience in a customer facing r

At Scale, we are driving the future of AI and Machine Learning across a variety of industries. As the Program Manager for Compliance, you will play a pivotal role in the continued success of Scale. Your role will be instrumental in ensuring the effective operation of our Compliance department and our GRC function, allowing us to maintain the highest standards in our industry. Reporting to the Director & Associate General Counsel, Compliance, you will be a dedicated program manager for Scale's enterprise compliance program and the person who turns policy into practice across anti-bribery and anti-corruption, gifts and entertainment, conflicts of interest, third-party risk and sanctions, policy lifecycle, and company-wide training. This is a hands-on builder, not a maintenance role. You will support Commercial, Public Sector, and international business lines, working closely with Legal, Procurement, Finance, Security, and go-to-market teams. You will: Help build, design, improve, and streamline Scale's core compliance programs, including anti-bribery and anti-corruption (ABAC), gifts and entertainment, conflicts of interest, and third-party risk and sanctions screening. Collaborate with stakeholders across the company to improve compliance policies, processes, and procedures. Monitor regulatory developments relevant to Scale's business, translate them into concrete policy and process changes, and track compliance obligations flowing out of customer contracts. Partner with leadership to build, mature, and operationalize the company's enterprise risk management (ERM) framework, identifying and assessing key business risks. Build the reporting layer: metrics and periodic reporting that give Legal & GRC leadership a defensible picture of program health. Flex into audit and assurance work during peak certification periods, and own inbound customer and investor compliance diligence questionnaires. Ideally you'd have: 5+ years building or operating ethics and c

Scale's public sector business is providing the best of American commercial technology and innovation to protect the homeland and meet the moment. As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States. You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems. All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland. You will: Own technical execution for one or more national security mission areas from initial requirement through deployment and formal evaluation Translate operational workflows into detailed Product Requirements Documents (PRDs), Engineering Requirements Documents (ERDs), and executable engineering work Work alongside engineers during cycle planning to define scope, sequencing, architecture constraints, dependencies, and milestones Maintain end-to-end requirements traceability from customer objective to software build, test event, and formal deliverable Drive Jira/GitLab execution and provide accurate inputs into integrated master schedules and program-level planning Understand and manage data availability, system architecture, integration dependencies, and technical constraints across high-side networks Identify technical blockers early, own their resolution, and immediately escalate critical risks when required Partner with subcontractors and external engineering teams where applicable, defining interfaces, deliverables, handoffs, and accountability Communicate technical progress, risks, tradeoffs, and decisions clearly to both engineering teams and senior customer stakeholders Must haves: Active TS/SCI clearance 5+ years of experience in technical program management, software engineering, systems e

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Job Description We are seeking a hands-on, builder-minded Senior Technical Compliance Analyst to serve as the operational engine behind our Trust & Security program. You will maintain our SOC 2 Type II posture, drive our second entity from Type I to Type II, and act as the bridge between compliance requirements and engineering & delivery execution. You will also lay the technical groundwork to evolve us toward **CMMC 2.0**, ensuring we are ready for federal contracts without slowing down our product velocity. **This is not a "compliance cop" role.** We practice **"Yes, if..."** security—you will influence architecture, automate policy enforcement, and unblock enterprise sales by ensuring the Security team has pristine, verifiable evidence at their fingertips. What You will Do Powering Customer Trust & Revenue Enablement The Engine Behind Revenue: Help drafting accurate, technically precise responses to RFPs, security questionnaires (CAIQ, SIG, custom risk assessments), and customer portals. Repository Stewardship: Own and continuously update the "Library of Truth"—a pristine repository of pre-vetted security evidence, technical configurations, and policy documents. By keeping this repository audit-ready, you enable the Security team to respond to enterprise prospects in hours, not days. Technical Depth on Demand: When a customer asks about AWS KMS encryption, logging pipelines, or IAM privilege escalation paths, you retrieve the granu

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: Manage customer relationships from the executive to the end user Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success Oversee onboarding and successful implementation of customer accounts Must haves: An active TS/SCI clearance 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions A track record of structured, analytics-driven problem solving Excellent verbal and written communication skills Willingness to be onsite with the customer in the Omaha area 4 days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: 10+ years of professional experience, often in a customer-facing technical program management role in industry or government Prior experience at an API technology company and / or managing technical cus

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role We're looking for talented and versatile Product Engineers to join our team. In this role, you'll build end-to-end products — from front-end interfaces through the APIs and services that power them — that make sophisticated workflows simple for our users. You'll work closely with product, design, and engineering teams to translate complex requirements into elegant, high-quality experiences, moving fluidly across the stack to get the job done. We are looking for talented Engineers who bring strong technical depth in React and TypeScript (and are comfortable working further down the stack when needed), a sharp product sense, and a passion for building software that makes sophisticated workflows feel intuitive. What You'll Do Build, ship, and maintain high-quality product features with full ownership from design through production, working across the front end and, as needed, the services that support it Enable operations teams to move fast by building the right abstractions and tools that provide safe use of agent workflows Collaborate with designers, product managers, and engineers to define and implement solutions that push the product forward Contribute to architecture decisions across the stack — advocating for scalability, maintainability, and clean code principles Drive best practices for accessibility, responsiveness, and cross-browser compatibility within your team Design and build APIs and services where a feature calls for it, ens

EnCharge AI is building a new generation of AI compute systems designed to deliver dramatically higher energy efficiency for AI inference. Our technology combines innovative compute architectures with a full-stack software platform spanning silicon, firmware, drivers, compilers, runtimes, and AI model enablement. We are looking for a Technical Program Manager - Embedded Software to drive execution across our embedded software organization and ensure tight alignment between firmware, drivers, hardware, architecture, compiler, runtime, and system teams. About the Role As Embedded SW TPM, you will be the connective tissue between silicon, platforms and systems teams, driving the embedded and low-level software programs that enable EN100 (and future accelerators) to run real AI workloads reliably and efficiently. You'll own the program plan from architecture through bring-up, pre-/post- silicon validation, and customer/OEM deployment to surface risks before they become blockers and keeping a hardware-coupled software org moving in lockstep with silicon milestones. What You'll Do • Own end-to-end program management for embedded software workstreams: device drivers, firmware, boot-loaders and board support packages for EnCharge accelerators. • Build and maintain integrated program schedules that align embedded software milestones with chip tape-out, silicon bring-up, board bring-up, and customer/OEM delivery dates. • Partner closely with embedded software, ASIC/hardware, platform and validation teams to define scope, sequence dependencies, and track execution against plan. • Identify, track, and drive resolution of cross-team risks and blockers (e.g., silicon errata affecting driver behavior, toolchain dependencies, host OS/driver compatibility). • Drive silicon bring-up and platform enablement, including early firmware, boot flows, device initialization, memory management, command submission, interrupts, power management, and hardware/software integration. • Run the prog

Owns day-to-day deal pricing execution for Enterprise, including pricing calculations, staffing inputs, and dashboard reporting that gives Sales and Deal Desk leadership visibility into deal status, pricing, and margin. Partners with the Deal Desk Manager on customer deal structuring and on identifying ways to accelerate the deal approval process. What You’ll Do Deal Pricing Execution Manages day-to-day deal pricing calculations for Enterprise deals, including ROI modeling and EPD staffing inputs Applies existing pricing frameworks consistently across Land, Expansion, and Framework deals Partners with the Deal Desk Manager to design customer-specific deal structures for non-standard or complex deals Pricing & Deal Status Reporting Builds and maintains a pricing dashboard tracking deal status, pricing, margin, and overall deal health across the Enterprise pipeline Updates pricing and trend reporting to keep leadership current on where deals stand and how pricing is trending against targets Process Optimization Identifies bottlenecks in the deal review & approval process and proposes ways to accelerate cycle time Helps standardize and streamline recurring pricing/approval steps into repeatable, lower-friction workflows Tracks deal approval cycle time and surfaces trends to inform process improvements Cross-Functional Deal Coordination Owns deal crafting end-to-end from initial pricing/modeling through contract review, coordinating with sales management, reps, and internal stakeholders Ensures the relevant stakeholders (Accounting, Finance, EPD, Legal) review and approve deals at the appropriate stage before they progress Routes deal packages to the correct reviewers and tracks open items so deals aren't stalled waiting on sign-off Strategic & GTM Support Tackles ambiguous, open-ended questions around Scale's go-to-market motion and iterates quickly on solutions that deliver measurable results Supports Sales and Finance leadership in quarterly strategy and

Role Summary Owns day-to-day deal pricing execution for Enterprise, including pricing calculations, staffing inputs, and dashboard reporting that gives Sales and Deal Desk leadership visibility into deal status, pricing, and margin. Owns customer deal structuring and on identifying ways to accelerate the deal approval process. Key Responsibilities Deal Pricing Execution Manages day-to-day deal pricing and designs customer-specific deal structures for non-standard or complex deals Applies existing pricing frameworks consistently across Land, Expansion, and Framework deals Pricing & Deal Status Reporting Builds and maintains a pricing dashboard tracking deal status, pricing and overall deal health across the Enterprise pipeline Updates pricing and trend reporting to keep leadership current on where deals stand and how pricing is trending against targets Process Optimization Identifies bottlenecks in the deal review & approval process and proposes ways to accelerate cycle time Helps standardize and streamline recurring pricing/approval steps into repeatable, lower-friction workflows Tracks deal approval cycle time and surfaces trends to inform process improvements Cross-Functional Deal Coordination Owns deal crafting end-to-end from initial pricing/modeling through contract review, coordinating with sales management, reps, and internal stakeholders Ensures the relevant stakeholders (Accounting, Finance, EPD, Legal) review and approve deals at the appropriate stage before they progress Routes deal packages to the correct reviewers and tracks open items so deals aren't stalled waiting on sign-off Strategic & GTM Support Tackles ambiguous, open-ended questions around Scale's go-to-market motion and iterates quickly on solutions that deliver measurable results Supports Sales and Finance leadership in quarterly strategy and planning, including forecasting and P&L analysis Helps scope and execute new initiatives around pricing strategy, deal modeling, p

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is looking for a highly experienced, hands-on Principal Solutions Engineer to lead customer and partner solution development, architecture, and deployment for our next-generation AI acceleration platform. This is a senior technical leadership role that combines customer-facing engagement, solution architecture, AI software optimization, and technical mentorship. This role will partner with strategic customers throughout their development lifecycle—from initial technical discovery, architectural evaluation, and proof-of-concepts through production deployment and scaling. Bridging the gap between AI hardware, software, systems, and customers, helping them successfully build, optimize, and scale cutting-edge AI workloads and agentic workflows on EnCharge technology. Serving as the voice of the customer, directly influencing product roadmaps, software features, and developer experience. Responsibilities Serve as the primary technical interface and trusted advisor for strategic customers and partners evaluating and deploying AI workloads on EnCharge platforms. Lead end-to-end customer engagements from technical discovery through proof-of-concept (PoC), design-in, performance benchmarking, system-level tuning, and production deployment. Support technical pre-sales efforts by clearly articulating solution value propositions, architectural differentiator

Job Title: Senior PD engineer : Synthesis & STA Location: Bangalore INDIA Hybrid / Remote Role Overview We are seeking a highly skilled VLSI Synthesis & STA Specialist to take end-to-end ownership of logic synthesis and quality signoff for key blocks and sub-chips. In this role, you will act as a critical bridge between the front-end design and back-end physical implementation teams. You will not only drive synthesis execution to meet aggressive target frequencies but also act as an advisor to the RTL team, providing structural feedback to optimize the netlist. This role offers a distinct growth trajectory, with the expectation to expand into adjacent physical design territories, including Place and Route (PNR) and comprehensive timing convergence. Key Responsibilities Synthesis Ownership: Drive and own the complete logic synthesis process for all designated blocks and sub-chips, ensuring optimal area, power, and performance metrics. Quality Signoff: Define, execute, and monitor rigorous sanity checks to achieve a high-quality, pristine Synthesis Signoff. RTL Collaboration: Work closely with RTL design engineers to ensure the delivery of a clean, fully linted netlist prior to handoff. Frequency & LOL Optimization: Deep dive into timing paths to ensure Levels of Logic (LOL) are strictly controlled and aligned with high-frequency target requirements. Micro-architecture Guidance: Go beyond reporting LOL violations; provide actionable RTL coding guidelines, structural recommendations, and micro-architecture inputs to help designers transform their code into a superior, synthesis-friendly netlist. Role Expansion: Progressively take on responsibilities in physical implementation adjacencies, actively participating in PNR execution, Static Timing Analysis (STA), and full-chip timing convergence. Required Skills & Qualifications Experience: 5 to 8 years of proven exper

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: Manage customer relationships from the executive to the end user Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success Oversee onboarding and successful implementation of customer accounts Must haves: An active TS/SCI clearance 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions A track record of structured, analytics-driven problem solving Excellent verbal and written communication skills Willingness to be onsite with the customer in the Colorado Springs area 4 days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: 10+ years of professional experience, often in a customer-facing technical program management role in industry or government Prior experience at an API technology company and / or managing technical

About the role As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform. Must be a permanent resident or citizen of Singapore. Responsibilities Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets. Post-Training & Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production. Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones. Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value. Product Feedback Loop: D

The Role We are seeking a highly skilled and hands-on SoC Floorplan Lead to own the physical foundation of our next-generation AI and Data Center SoCs. In this critical role, you will be the bridge between architecture, logic design, and physical design. You will work hand-in-hand with Chip Architects and RTL Leads to influence micro-architecture and ensure the physical implementation achieves best-in-class Power, Performance, and Area (PPA). If you love solving complex spatial puzzles on advanced technology nodes, integrating sensitive analog components, and driving execution in a high-energy start-up environment, this is the role for you. Key Responsibilities Top-Level Floorplanning: Own the SoC-level floorplan from concept to tape-out for high-performance, large-scale AI/Data Center chips on advanced process nodes (e.g., 5nm, 3nm or below). Architecture & RTL Collaboration: Partner closely with Architecture and RTL teams to provide early physical feasibility feedback. Drive block partitioning, shape optimization, and data-flow planning to achieve the absolute best PPA. Bump & Package Co-Design: Lead bump planning and IO ring definition. Work with packaging teams on flip-chip/advanced packaging constraints, ensuring optimal signal escape and power delivery. Custom & Analog Routing: Manage the placement and custom routing strategies for critical Analog/Mixed-Signal (AMS) IPs, high-speed SerDes (PCIe, Ethernet, Memory interfaces), PLLs, and sensitive clock distributions. Power Delivery Network (PDN): Design and analyze the top-level power grid, ensuring robust power delivery for high-current AI workloads while minimizing IR drop. Pin Assignment & Feedthroughs: Manage macro placement, block-level pin assignments, and top-level feedthrough planning to optimize global timing and routing congestion. Methodology Development: Build and maintain scalable Floorplanning workflows and

Chief of Staff, Public Sector As the Chief of Staff for Scale AI’s Public Sector business unit, you will be a strategic partner to the VP, Public Sector Engineering & Security, driving the execution of critical initiatives and optimizing the operational rhythm of the business. Your role will encompass strategic planning, cross-functional initiatives management, executive reporting, special project execution, and the synthesis of complex information to support Public Sector objectives and growth. We are seeking a hard charging, initiative-driven generalist that is obsessed with impact, deeply analytical, low ego, and ready to embrace the intensity required to achieve the goals of our growing Public Sector business. You will: Act as an extension of the VP, Public Sector Engineering & Security by attending key meetings and calls on the VP’s behalf, supporting client development, external presentations, internal problem solving, and special projects Run strategic planning for the business unit to include scoping business priorities, driving alignment among the VP, Public Sector Engineering + senior leadership (VPs of Engineering, Sales, and Operations), and leading initiatives that move the needle on key performance indicators (KPIs) Own operational rhythms for the business unit (leadership meetings, all hands, offsite events), executive deliverables, and special projects Own all executive-level reporting that communicates progress and blockers for the business unit and act as the primary liaison to central functions such as finance, communications, marketing, and legal Report to the VP, Engineering & Security of Scale’s Public Sector business unit Ideally you’d have: A strong orientation towards outcomes and a history of being scrappy when it counts An effective interpersonal style that you bring to bear in everything from deep technical conversations with engineers to polished executive level comms Proven ability to build high trus