Codashop, ML Jobs in Usa

We are currently working with a growing consulting organization that is looking to bring on an Azure Databricks Architect to support a large-scale modern data platform initiative.

This role is fully remote, however the consultant must be based in the Chicago area in order to collect company equipment on day one.

Responsibilities

• Lead the architecture and design of enterprise data platforms built on Azure and Databricks

• Design scalable Lakehouse architectures using Databricks, Delta Lake, and Azure Data Services

• Work closely with engineering teams to guide implementation of best practices across data engineering, performance optimization, and cost management

• Collaborate with business stakeholders to translate requirements into technical architecture

• Provide technical leadership across ingestion frameworks, orchestration, and data governance

• Support modernization of legacy data platforms into cloud-native architectures

Required Experience

• Extensive experience designing and implementing Azure Databricks solutions

• Strong background in Azure data ecosystem (ADLS, ADF, Synapse, etc.)

• Deep understanding of Lakehouse architecture and Delta Lake

• Experience building scalable data pipelines and distributed data processing frameworks

• Strong stakeholder communication and architecture leadership experience

• Previous consulting or client-facing delivery experience is highly desirable

Nice to Have

• Databricks certifications

• Experience with Unity Catalog, MLflow, or Databricks Serverless

• Experience supporting AI/ML workloads on Databricks

B2B Sales Agent – Claw & Vending Machines (Soccer, Basketball & Rugby Venues)

Location: New York City

Compensation: Base salary ~$55,000+ performance-based commission (strong OTE of $110k+)

Type: Full-time

About Us:

We’re a fast-growing sports & gifting brand bringing “mystery shirt” magic into the real world – via claw machines and vending machines packed with surprise soccer, basketball and rugby jerseys.

We’re at the very start of this channel and our long-term ambition is to place 800+ claw and vending machines across the NYC metro, Northeast, and key US markets in high-footfall, sports-focused venues.

Once we’ve cracked the US East Coast model, the plan is to expand this rollout nationwide – turning it into a serious global revenue stream.

The Role:

Your mission is simple:

Get our claw and vending machines into great locations on a revenue-share model and turn those locations into long-term, high-performing accounts.

You’ll be responsible for the full sales cycle – from identifying target venues, to getting in front of decision-makers, to negotiating terms and overseeing successful installs.

This is a role for a closer with a track record, not a “starter”. If you know how to sell physical, space-taking products into venues (or similar), this will feel familiar – just more fun.

What You'll be Doing:

Sales & Business Development:

Build and manage a pipeline of target venues, including:

• Soccer stadiums and clubs (MLS teams, soccer-specific venues)
• Basketball arenas and sports centers (NBA, college basketball facilities)
• Rugby venues, sports bars and high-footfall leisure sites (arcades, attractions, student hubs, family venues, etc.)

• Research and map decision-makers (centre managers, commercial managers, tenant coordinators, operations, etc.) and get in front of them via outbound (cold email, calls, LinkedIn, in-person visits).
• Pitch our claw/vending machine concept and revenue-share model in a clear, commercial way that makes it a no-brainer for the venue.
• Create tailored proposals and negotiate commercial terms (revenue splits, minimum terms, placement, branding, etc.).
• Own the full sales cycle from first contact → proposal → negotiation → signed agreement → handover/installation.

Account Management & Expansion

Act as key point of contact for venue partners – check performance, resolve issues, and keep relationships warm.

Monitor machine performance by location, flag under-performance early, and propose solutions (relocation, offer tweaks, creative changes).

Identify upsell / expansion opportunities (more machines, better placements, additional venues in the same group).

Execution & Operations Coordination:

Work closely with operations to schedule machine installs, maintenance and replenishment.

Ensure all venue requirements (H&S, insurance, risk assessments, branding guidelines) are captured and communicated.

Feed back on what you’re seeing “on the ground” – what types of venues and positions work best, what objections are coming up, what offers resonate.

Reporting & Targets:

Own and report on a clear set of KPIs: machines placed, signed venues, average monthly revenue per machine, pipeline value, win rate.

Keep CRM / pipeline organised and up to date – no black holes, no mystery deals.

What We're Looking for:

Non-negotiable: proven track record.

We’re looking for someone who has already sold into venues / locations and can show it.

Must-haves

• 3+ years B2B sales experience with a strong new business focus (not just farming existing accounts).
• Proven success selling physical or location-based products or services, such as:
• Vending / amusement / arcade / gaming machines
• POS / kiosks / retail hardware
• Experiential / in-store activations
• Other space-taking installations into venues
• Confident negotiating commercial agreements and revenue-share models.
• Comfortable being out on the road, visiting sites, walking a venue and spotting where something would perform best.
• Strong communication skills – in-person, on the phone, and over email. You can explain the numbers clearly and get to a decision.
• Highly self-motivated and comfortable working in a fast-paced, entrepreneurial environment with clear targets.

Nice-to-haves

• Existing relationships with stadiums, soccer clubs, basketball arenas, rugby venues, shopping centres, or leisure groups.
• Experience working with landlords, asset managers, or centre managers.
• Interest in soccer, basketball, rugby and fan culture – you “get” the product and the audience.

What Success Looks Like in 12 Months

• A healthy, visible pipeline of targeted venues with clear next steps.
• A growing network of signed locations with machines installed and trading.
• Real, measurable monthly revenue from the machines – and a clear view of which types of locations perform best.
• A clear, data-backed rollout plan that makes scaling to hundreds of machines (800+ over time) across the US feel achievable, not hypothetical.
  

Why This Role is Exciting:

• You’re early in a new revenue channel – you get to shape how it works and help design the playbook that scales to 800+ machines.
• Clear line between your work and visible, tangible results (machines on-site, fans playing, revenue generated).
• Base salary plus meaningful commission upside – the more you place and the better the machines perform, the more you earn.
• Real scope to grow with the project – from NYC/Northeast rollout to nationwide and international expansion.

Company Description

Closai's open infrastructure connects personal purchase history to the retail ecosystem, enabling a new era of commerce. Our proprietary Closetization™ system understands what consumers already own and uses that intelligence to power personalized shopping, agentic commerce, and next-generation retail infrastructure. We operate at the intersection of AI, data infrastructure, and commerce. Closai is focused on revolutionizing the way individuals and businesses connect and utilize their assets.

Closai is an early-stage start-up with accelerator backing, pilots in development, and a live product. Check out the app here - Description

We’re looking for a full-time Technical Cofounder or Founding CTO to own Closai’s technical architecture end-to-end and help define the standard for order intelligence. This is a hands-on role. You’ll architect, code, and ship alongside the founder, while shaping the long-term technical vision of the company.

Compensation: Meaningful cofounder-level equity and long-term upside.

What You'll Own:

• Core backend architecture (APIs, data models, security)
• Purchase history intelligence pipelines (ingestion, normalization, enrichment)
• Universal infrastructure enabling third-party integrations
• AI-powered search, recommendations, and agent workflow
• Scalability, reliability, and data privacy foundations
• Technical roadmap aligned with enterprise SaaS and platform monetization

Technical Skills:

• Backend & Infrastructure - Python (preferred) or Node.js - REST and/or GraphQL APIs - PostgreSQL or similar relational databases - Cloud infrastructure (AWS or GCP) - Authentication & authorization (OAuth, JWT, scoped access)
• Data & AI - ETL and data pipeline design - Experience with embeddings, vector databases, or semantic search - Working with LLMs or ML systems in production - Schema design for messy, real-world data - Enterprise-ready pipelines and APIs
• Product Engineering - Shipping consumer and enterprise-facing products - Performance, reliability, and security mindset - Strong intuition for user experience (DX) - Enterprise

Other Qualifications

• Strong Analytical and Research skills to solve complex technical and strategic problems.
• Excellent Communication skills to collaborate with cross-functional teams and stakeholders.
• Ability to lead and manage technical projects with attention to detail and deadlines.
• Strong adaptability and self-motivation in a fast-paced startup environment.
• Previous experience in a technical or cofounder/leadership role is a plus.
• Previous experience with commerce or retail is a plus.

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, we’re a fast-growing startup with real customers. Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We're seeking an exceptional Head of Engineering to lead our technical organization through our next phase of growth. As our engineering leader, you'll build and scale our team, establish technical excellence, and drive the development of products that delight our customers. This is a unique opportunity to shape the engineering culture and technical foundation of an early-stage startup with ambitious goals.

What you’ll do:

• Lead engineering teams in designing and implementing scalable, cloud-native architectures for AI-powered, agent-based applications 
• Drive technical strategy and establish engineering best practices across the organization with an AI-first approach 
• Oversee the development lifecycle from planning through deployment using modern CI/CD pipelines 
• Champion security-first development practices and ensure compliance with industry standards 
• Mentor and develop engineering talent while fostering a culture of innovation and continuous improvement 
• Build and maintain a hybrid engineering culture with effective collaboration practices across in-office and remote team members 
• Collaborate with product, design, and business stakeholders to align technical solutions with retail customer needs 
• Establish and monitor engineering KPIs, system performance metrics, and technical debt management 
• Lead incident response protocols and ensure high availability of production systems 

What we’re looking for:

• 10+ years of software development experience, including 5+ years in engineering leadership roles
• Strong application development background with hands-on experience scaling production systems
• Proven track record of scaling engineering teams from ~5 to 50+ engineers
• Ability to define who to hire and when, aligned to business and product priorities
• Experience building and maturing software development practices
• Deep expertise in modern programming languages, frameworks, and architectural patterns Strong understanding of distributed systems, microservices, and cloud infrastructure (AWS, GCP, or Azure) 
• Experience building and scaling multi-tenant SaaS platforms 
• Familiarity with modern data engineering, machine learning operations, or AI/ML infrastructure 
• Experience with DevOps practices, containerization (Docker, Kubernetes), and infrastructure as code 
• Experience with database design, optimization, and data architecture strategies
• Demonstrated ability to build and lead high-performing remote and distributed teams Excellent communication skills with ability to translate technical concepts for non-technical stakeholders 
• Strong knowledge of Agile, Scrum, or other iterative development methodologies

Nice to have:

• Expertise in building platform engineering capabilities and developer experience initiatives Knowledge of observability tools and practices, particularly Honeycomb or similar event driven observability platforms 
• Experience with security frameworks, penetration testing, and compliance requirements (SOC 2, GDPR, HIPAA) 
• Early-stage startup experience with ability to thrive in ambiguous, fast-moving environments 
• Experience in retail tech, e-commerce, or similar enterprise software platforms 
• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience 

Apply today to join a small, senior team working on problems that sit at the core of how global retailers operate.

Title: Technical Manager of Database Development/Architecture (Hands-on) (Onsite 4 days, N. Dallas Area)

Direct Hire Opportunity

No Sponsorship

Hybrid - 4 days onsite, 1 day remote

We are seeking an experienced hands-on leader of Data Development/Architecture to shape and execute the organization's enterprise data strategy. As a recognized expert in data architecture, this hands-on leader will bridge business objectives with technical solutions, delivering actionable insights, robust data architectures, and scalable analytics capabilities. The role requires strong partnership with stakeholders, proactive anticipation of needs, and hands-on leadership to guide solution delivery from concept through production support.

Requirements:

• Minimum 7+ years of progressive experience in data architecture, solution development, and leading IT/data initiatives within consumer products, e-commerce, retail, or comparable industries.
• Proven track record designing and delivering data management and analytics solutions in e-commerce, retail, sales, finance/accounting, and/or supply chain/warehousing environments.
• Exceptional analytical mindset with strong problem-solving skills; detail-oriented yet capable of maintaining strategic perspective. Adept at probing beyond surface-level requests to uncover true business needs.
• Deep expertise in data warehouse architecture (dimensional modeling, star/snowflake schemas) and data mining techniques.
• Hands-on experience as a SQL developer, data engineer, or data scientist building scalable solutions.
• Strong background architecting cloud-based data platforms (PaaS/SaaS), with emphasis on compute, storage, integration patterns, and connectivity.
• Demonstrated success designing and managing Microsoft Azure analytics ecosystems, particularly Azure Synapse Analytics, Microsoft Fabric, and related services.
• Solid understanding of software development lifecycle (SDLC), IT service management (ITSM), data privacy, and security principles.
• Effective project management skills with experience leading cross-functional initiatives.
• Outstanding technical writing and documentation abilities.
• Broad application development experience covering full lifecycle: requirements, design, build, test, deploy, and sustainment—including creation and upkeep of supporting documentation.
• Superior verbal and written communication skills; ability to adapt style and level of detail for executives, technical teams, and business users.
• Strong interpersonal and relationship-building capabilities.
• Proven capacity to juggle multiple priorities in a fast-paced environment.
• Self-directed with excellent follow-through and ability to execute against defined objectives.
• Meticulous attention to detail combined with a collaborative, team-first leadership approach.
• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business, or a closely related field and/or equivalent experience may be considered (Master's preferred, but not required).

Responsibilities:

• Define and execute comprehensive data management and governance strategies aligned with business priorities.
• Own the intake, prioritization, and lifecycle management of data and analytics requests from across the organization, ensuring timely delivery and clear stakeholder communication.
• Build, lead, and mentor a high-performing team of database engineers, Power BI developers, and analytics professionals.
• Utilize advanced data modeling techniques, AI/ML tools, and modern analytics platforms to unlock value from data.
• Establish and enforce standards for data quality, integrity, consistency, and accuracy.
• Oversee data storage architecture, access patterns, retrieval performance, and lifecycle management.
• Drive in-depth data analysis initiatives—working with large, complex datasets to uncover trends, patterns, and insights that inform strategic and operational decisions.
• Develop and manage budgets for personnel, tools, cloud resources, and related initiatives.
• Lead requirements gathering, solution design, unit/integration testing, issue resolution, and go-live support.
• Champion knowledge transfer, best practices, and reusable assets to accelerate delivery of data products and services that support company goals.
• Provide coaching, professional development, and performance guidance to direct reports.
• Maintain complete, up-to-date documentation for data warehouse processes, ETL pipelines, data models, and operational procedures.
• Design and automate operational dashboards, recurring reports, and self-service analytics capabilities.
• Collaborate cross-functionally to ideate, design, and implement innovative data handling approaches, platforms, and analytics solutions.
• Develop compelling data visualizations and storytelling presentations to communicate insights and recommendations to leadership and business partners.
• Translate complex findings and project objectives into clear, audience-appropriate communications.

Comprehensive Benefits Provided

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We’re looking for a multi-disciplinary AI Engineer to design, implement, and deploy LLM-driven agents with strong backend and front-end integration. You’ll be leading efforts across LLM agent design, prompting, fine-tuning, and MLOps, while building real-world, production-grade applications with modern web technologies.

The ideal candidate combines a strong foundation in Python and AI with practical experience in agent frameworks like LangGraph, PydanticAI, and Google ADK, as well as FastAPI and front-end development.

What you’ll do:

LLM Agents & Prompt Engineering

• Architect and implement LLM agents using frameworks like LangGraph, PydanticAI, and Google ADK.
• Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
• Integrate vector databases (e.g., FAISS, Pinecone, pgvector) and knowledge graphs (Neo4j) to support retrieval-augmented generation (RAG) and long-term chatbot memory.
• Design and maintain high-quality prompt strategies for robustness and reliability.

FastAPI, Model Context Protocol (MCP) & Backend

• Develop and maintain scalable APIs using FastAPI, supporting synchronous and asynchronous agent execution.
• Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
• Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.

Evaluation, Testing & Observability

• Build unit and behavioral tests for agents, tools, and workflows.
• Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
• Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.

Model Fine-Tuning & MLOps

• Fine-tune models using LoRA, QLoRA, or full fine-tuning pipelines.
• Integrate, deploy, and monitor models in production using cloud providers.
• Set up agent logging, observability dashboards, and recovery workflows.

Front-End & UX

• Familiar with React, TypeScript, Next.js, or similar frameworks
• Understanding of front-end and back-end integration for AI tools
• Ability to build basic dashboards or agent interfaces
• Integrate agents into interfaces
• Speak the language of UI 

What we’re looking for:

• 3+ years experience with Python in ML/AI systems and PyTorch or Tensorflow
• 1+ years experience with LLM agent development, prompt engineering, and frameworks like
• LangGraph, PydanticAI, and Google ADK.
• Experience with fine-tuning LLMs.
• Familiarity using vector stores like ChromaDB, Weaviate, or pgvector.
• Production experience with FastAPI, Docker, and MLOps
• Expert in Agentic Coding IDEs (Windsurf, Cursor or Claude Code)
• Bachelor’s or Master's degree in computer science

Nice to have:

• Open-source contributions to LLM/agent tooling
• Knowledge of async programming, websockets, and streaming APIs

What we offer:

• Competitive compensation and equity
• Comprehensive benefits including medical, dental, vision, etc.
• Unlimited and flexible PTO

ABOUT SAN DIEGO FC

At San Diego FC, we believe football is more than a game — it's a community, a culture, and a movement. As MLS' newest club, we're building not just a team, but a brand that reflects the heart of San Diego.

This is an opportunity to join a team of passionate people and play a meaningful role in evolving the Club's people systems from solid startup foundations into a scalable, high-performance, people first organization.

POSITION OVERVIEW:

San Diego FC is seeking a dynamic and creative Influencer Marketing Manager to develop and execute influencer marketing strategies that drive brand awareness, engagement, and sales. The ideal candidate will have a strong understanding of social media platforms, influencer trends, and proven experience in managing successful influencer campaigns.

Please include aa portfolio & social handle in your resume/application.

KEY RESPONSIBILITIES:

Strategy Development:

• Design and implement influencer marketing strategies aligned with San Diego FC's goals.
• Identify key performance indicators (KPIs) and track campaign success.

Influencer Identification and Outreach:

• Research and recruit influencers across various platforms (e.g., Instagram, TikTok, YouTube, Twitter).
• Build and maintain strong relationships with influencers, agencies, and talent managers.

Campaign Management:

• Collaborate with influencers to develop authentic, engaging content that aligns with the brand's voice.
• Coordinate deliverables, timelines, and budgets for influencer campaigns.
• Ensure compliance with brand guidelines and FTC regulations.
• Coordinate and host influencer and creator experiences on matchdays, including inviting guests, managing credentials and logistics, and ensuring creators capture engaging content that highlights the club, supporters, and matchday atmosphere.
• Serve as the primary point of contact for creators during matchday activations, facilitating behind-the-scenes access and ensuring a seamless and memorable in-stadium experience.

Content Collaboration:

• Work with influencers to produce high-quality content, including posts, videos, and stories.
• Repurpose influencer-generated content for use across brand channels.

Performance Tracking and Reporting:

• Analyze campaign performance metrics (e.g., reach, engagement, conversion rates).
• Prepare detailed reports on campaign results and provide actionable insights.

Trend Analysis:

• Stay updated on emerging social media trends, influencer marketing tools, and competitor activities.
• Experiment with new platforms and partnership approaches.

Cross-Functional Collaboration:

• Work closely with marketing, PR, and product teams to align influencer campaigns with broader marketing initiatives.
• Support product launches, events, and seasonal campaigns through influencer partnerships.

QUALIFICATIONS:

Candidates can meet the requirements with a combination of these qualifications:

• Bachelor's degree in Marketing, Communications, Business, or a related field.
• 3–5 years of experience in influencer marketing, social media management, or a related field.
• Proven track record of managing successful influencer campaigns.
• Strong understanding of influencer marketing platforms and analytics tools (e.g., Sprout Influencer, AspireIQ, GRIN, Traackr).
• Excellent communication, negotiation, and relationship-building skills.
• Creative thinker with a passion for storytelling and branding.
• Ability to manage multiple projects and deadlines simultaneously.

Preferred Qualifications:

• Experience working with global influencers or managing campaigns across multiple regions.
• Knowledge of social media advertising and SEO.

APPLICATION PROCESS

Please include aa portfolio & social handle in your resume/application.

We invite all qualified candidates to apply. This is an opportunity to be a part of a great team building something meaningful for San Diego. We offer excellent benefits including multiple health plans, lifestyle & wellness plans, over 30 days of paid time off, and a 4% company match on your 401(k).

San Diego FC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strongly value student athlete safeguarding and do background screening and training for certifications.

Research Scientist, Post-Training | Robotics & AI | SF Bay Area / Boston

A frontier AI robotics company building general-purpose robots is hiring a Post-Training Research Scientist to turn large pretrained robot models into reliable real-world systems. The team includes alumni from OpenAI, Boston Dynamics, and Google DeepMind, working on embodied foundation models and robotic dexterity.

Role

Focus on post-training: fine-tuning and adapting large models for real robotic tasks, improving robustness and controllability, and building evaluation frameworks tied to real-world performance. Work on inference efficiency and close the loop between model outputs and robot behaviour using RL, imitation learning, distillation, synthetic data, and curriculum learning.

Looking for

Experience fine-tuning large models (RLHF, RL, IL, distillation, domain adaptation), ideally with exposure to embodied AI or real-world ML systems, plus strong evaluation and debugging skills.

On-site: SF Bay Area or Boston

Up to $350k + equity

Job Title: Senior Capture Manager - CMS Programs

Location: Tysons Corner, VA (Hybrid – 3 days in office)

Role Overview:

Sky Solutions is seeking a Senior Capture Manager focused on CMS to lead end-to-end capture efforts for strategic CMS opportunities. This role will drive pursuits typically in the $10M–$50M range, with visibility into larger enterprise modernization programs.

The ideal candidate brings deep CMS experience, understands CMS buying behaviour and operating divisions, and can shape competitive opportunities early in the lifecycle. This role will be instrumental in expanding Sky's CMS footprint and strengthening our position as a prime contractor within federal healthcare modernization initiatives.

Key Responsibilities:

Capture Strategy & Execution

• Lead the full capture lifecycle for CMS opportunities, from early market shaping through proposal hand-off.
• Develop and execute win strategies aligned with CMS modernization priorities (e.g., Medicare, Medicaid, Program Integrity, Digital Services, Data Modernization).
• Drive disciplined capture governance, including gate reviews, competitive analysis, SWOTs, and Black Hat sessions.
• Maintain realistic pWIN assessments and execute mitigation strategies to improve win probability.

CMS Market Engagement:

• Engage CMS stakeholders and operating divisions (e.g., CPI, CCSQ, CMCS, Client, Innovation Center) to understand mission needs and shape upcoming procurements.
• Build and maintain relationships with Program Executives, CORs, Contracting Officers, and industry partners.
• Monitor CMS strategic initiatives, procurement forecasts, and policy shifts to identify growth opportunities.

Teaming & Competitive Positioning:

• Develop strategic teaming approaches (prime and subcontractor positioning).
• Identify and negotiate partnerships aligned to opportunity requirements.
• Leverage contract vehicle strategies (GWACs, BPAs, IDIQs, CMS-specific vehicles) to optimize competitive advantage.

Proposal & Solution Alignment:

• Collaborate with solution architects, pricing, proposal teams, and delivery leadership to shape compelling, compliant, and differentiated proposals.
• Ensure clear articulation of win themes and discriminators.
• Participate in and support color team reviews.

Pipeline & Growth Contribution:

• Support pipeline development and forecasting for CMS portfolio.
• Provide regular updates to leadership on strategy, risks, and growth projections.
• Contribute to strengthening Sky's CMS growth methodology and repeatable capture practices.

Required Qualifications:

• 7–10+ years of federal capture or business development experience with a strong focus on CMS.
• Demonstrated success capturing and winning federal contracts in the $10M+ range (experience supporting $20M+ pursuits preferred).
• Deep understanding of CMS procurement processes, contract vehicles, and operating divisions.
• Strong knowledge of federal acquisition lifecycle, GWACs, BPAs, and IDIQ structures.
• Proven ability to shape opportunities pre-RFP and drive disciplined capture execution.
• Excellent communication skills with ability to engage CMS program and contracting leadership.
• Ability to manage multiple concurrent pursuits in a fast-paced environment.

Preferred Qualifications:

• Experience supporting CMS modernization initiatives in Digital Transformation, AI/ML, Cloud, Data Analytics, Claims Processing, or Program Integrity.
• Familiarity with CMS vehicles such as SPARC, CIO-SP4, Polaris, STARS III, or other HHS-aligned contract vehicles.
• Experience within small-to-mid-tier federal contractors scaling growth.
• APMP or similar capture certification.

Educational Qualifications:

• Bachelor's degree in business, Information Technology, Healthcare Administration, or related field.
• Advanced degree preferred.

What Success Looks Like:

• Strengthened CMS pipeline with qualified, strategically aligned pursuits.
• Increased capture discipline and measurable improvement in win rate.
• Securing one or more strategic CMS prime awards within 12–18 months.
• Elevated visibility and positioning of Sky Solutions within CMS modernization initiatives.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  

Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. 

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

The Role 

We are seeking a highly skilled and motivated Manufacturing Bring-up Engineer to join our team. As the Manufacturing Bring-up Engineer you will support our system level bring-up process execution, implementation, and evolution in the manufacturing pipeline. This is a high visibility role that requires strong technical expertise, coordination, and collaboration to deliver our product from manufacturing to the customer. 

Responsibilities 

• Support the Cerebras manufacturing bring-up process execution to configure, test, and validate system performance prior to customer shipment 

• Collaborate cross-functionally with Asic, SW, Diagnostics, and QA teams to further automate and streamline the workflow for optimal manufacturing efficiency 

• Troubleshoot and resolve technical issues during system bring-up across Asic, SW, and QA domains 

• Design and implement efficient processes to manage and track system bring-up status and progress 

• Track and report on critical bring-up metrics to drive continuous improvement  

• Implement further SW automation and efficiencies to effectively scale the manufacturing bring-up process in support of the manufacturing roadmap 

Skills & Qualifications 

• BS or MS in EE, ECE, CS or equivalent work experience 

• 3+ years of industry experience in an operations environment 

• Experience in hardware bring-up and the debug of complex systems 

• Working knowledge and experience in Asic bringup and test processes 

• Working knowledge of scripting in languages such as Python and/or Perl 

• Proven experience in system bring-up and validation of complex computer systems or equivalent technologies 

• Understanding of computer system architecture and hardware components  

• Proficiency in scripting and automation tools for system bringup  

• Excellent problem-solving and communication skills with the ability to work collaboratively in a fast-paced environment 

• Very strong coordination and collaboration skills to manage a business-critical workflow directly in support of customer demand 

Preferred: 

• Familiarity in creating test and s/w infrastructure at large scale 

• Working across global time zones  

Location 

Sunnyvale, California/ Bangalore, India/Toronto, Canada.

The base salary range for this position is $170,000 to $230,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2026.

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.