X4 Engineering Jobs in Usa

With a passion for life

Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers - and to save more lives, we need team players, forward thinkers, and game changers.

Are you looking for an inspiring career? You just found it.

Job Responsibilities and Essential Duties

• 
  
• Lead and govern design-related CAPA activities across the R&D organization, ensuring timely, compliant, and effective resolution of complex design, verification, validation, and product performance issues.
  
• Oversee and review root cause investigations using rigorous, data-driven problem-solving methodologies, and ensure corrective and preventive actions are appropriately scoped, risk-based, sustainable, and effectively linked to design controls, risk management, and product lifecycle processes.
  
• Ensure CAPA records and documentation are complete, accurate, and audit-ready, in compliance with FDA regulations, ISO 13485, and internal quality system requirements.
  
• Manage and develop the R&D CAPA team, including setting expectations, prioritizing
  
• workload, providing technical direction, and coaching CAPA specialists and engineers.
  
• Provide technical guidance, coaching, and mentorship to R&D engineers and CAPA owners on CAPA processes, best practices, timeline development, SOP adherence, and effectiveness verification planning.
  
• Serve as the primary R&D CAPA interface with Quality, Regulatory Affairs, Operations, and other cross-functional partners to address systemic and cross-product issues.
  
• Review and approve CAPA plans, timelines, effectiveness verification strategies, and closure rationales to ensure regulatory robustness and high-quality outcomes.
  
• Support internal and external audits, inspections, and assessments by providing CAPA documentation (e.g., CAPA storyboards), investigation rationale, and subject matter expertise.
  
• Act as a CAPA subject matter expert within the R&D organization, driving continuous improvement in CAPA execution quality and consistency.
  

Minimum Requirements

• 
  
• Bachelor's degree in Engineering or related technical field; advanced degree preferred.
  
• 6+ years of experience in R&D within a medical device organization with at least 5 years of CAPA processes and regulatory compliance requirements (FDA, ISO 13485).
  
• 2+ years of leadership experience managing engineering teams.
  
• Proven experience in managing CAPA for design and development activities
  

Required Knowledge, Skills and Abilities

• 
  
• Expert-level understanding of CAPA methodologies, root cause analysis tools (Fishbone, 5 Whys, FMEA), and risk management.
  
• Strong leadership and team management skills with ability to influence and drive accountability.
  
• Excellent analytical and problem-solving abilities with attention to detail.
  
• Effective communication and presentation skills for all organizational levels.
  
• Experience with drafting statistically sound sampling plans & acceptance criteria for measuring Effectiveness of implemented actions.
  
• Proficiency in documentation and electronic CAPA systems, Trackwise preferred.
  
• Deep knowledge of medical device regulations and design control requirements.
  

Salary range: $145k - $175k

#LI-LG1

About us

With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and solutions aiming to improve clinical results and optimize workflows. The offering includes products and solutions for intensive care, cardiovascular procedures, operating rooms, sterile reprocessing and life science. Getinge employs over 12,000 people worldwide and the products are sold in more than 135 countries.

Benefits at Getinge:

At Getinge, we offer a comprehensive benefits package, which includes:

• 
  
• Health, Dental, and Vision insurance benefits
  
• 401k plan with company match
  
• Paid Time Off
  
• Wellness initiative & Health Assistance Resources
  
• Life Insurance
  
• Short and Long Term Disability Benefits
  
• Health and Dependent Care Flexible Spending Accounts
  
• Commuter Benefits
  
• Parental and Caregiver Leave
  
• Tuition Reimbursement
  

Getinge is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, disability, protected veteran status or any other characteristic protected by law.Reasonable accommodations are available upon request for candidates taking part in all aspects of the selection process.

Position Description

The client is hiring a Project Manager for our Combat Mission Systems (CMS) business in Temple, TX. The Project Manager will be responsible for supporting the Bradley A4E1 program management team, by managing vehicle and hardware deliveries on time and within budget. This position is full-time onsite at our facility in Temple, TX and reports to the Bradley A4E1 Program Manager. Location/Schedule/Travel: • This role is fulltime onsite in Temple, TX • The role works a 9/80 schedule where you will have every other Friday off • There may be up to 20% travel This Project Manager is accountable for all on-site program activities of the US Army Bradley post production integration efforts, including the following: Supporting the program to achieve cost/profitability, schedule, and technical performance objectives with a high level of customer satisfaction Establishing program direction and indirect management for the matrixed team executing the scope (Engineering, Quality, Operations, Supply Chain, Manufacturing, Contracts, Finance and/or others) Effectively managing and integrating program complexities including multiple production elements Proactively planning for activities on the current contract. Actively and effectively managing risks and opportunities. Making timely and ethical decisions with sound judgment while complying with the contract, policies and procedures. Continuously improving project performance including capturing, evaluating, and applying lessons learned. Effectively presenting project status and proposals to the program team and Senior Management Developing program/project plans specifying goals, staffing, scheduling, identification of risks, contingency plans, and allocation of available resources Leading and inspiring diverse teams in a high tempo environment spanning multiple sites including industry partners and suppliers. The Project Manager will: Lead and utilize a team of indirect reports to work across functional lines to meet the program objectives and deliverables Work with peers to maintain a program schedule that consolidates multiple projects across contracts. Manage the flow of vehicles and hardware into the facility to support the on-time delivery of contract deliverables. Present project status at program and technical reviews with customers with various levels of the Systems organization. Act as primary point of contact between Client and the customer, suppliers, and key customer stakeholders; this includes working across time zones Make decisions to deliver cost-effective solutions to the company and ensure assigned projects meet financial commitments for orders, sales, profit, and cash, while managing to an appropriate level of risk Identify and assess performance gaps to customer expectations or program objectives, develop and initiate improvement plans to close the gaps, and utilize metrics to verify performance to plan Responsible for completion of deliverables and on-time delivery

Skills Required

-Bachelor’s Degree and 6 years of experience -Communicate effectively both orally and in writing -Ability to manage and report project schedules and budgets -Ability to represent the team and deliver status reports to internal and external leadership -Microsoft Office proficient -Ability to prioritize and multitask -Excellent organizational and follow through skills -Detail oriented -Adapt to high volume workload

Skills Preferred

-Master Degree and 7 years of experience -A certification in Project Management from an industry-recognized organization such as the Project Management Institute (PMI), Project Management Professional (PMP), and/or Program Management Professional (PgMP) -Earned Value Management experience

Experience Required

-Experience with project planning, execution, monitoring, and controlling processes

Experience Preferred

Education Required

Bachelor’s Degree and 6 years of experience

Education Preferred

Master Degree and 7 years of experience

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Summary

The people and technology that power our Group business work in the Employee Benefit Solutions Technology (EBST) organization within Enterprise Technology. As a member of the Partner Data Exchange (PDX) team, you will help design, build, and support systems that enable how Securian exchanges critical employee and client data with internal platforms, external partners, and administrators.

PDX plays a key role in the end to end client experience by ensuring that eligibility, enrollment, and coverage data is accurate, timely, and reliable. The systems supported by this team directly influence how easily clients onboard, how effectively partners integrate, and how confidently downstream teams can serve our Employee Benefits Solutions (EBS) customers.

This role is well suited for an engineer who is eager to grow technical skills, learn complex domains, and contribute to high impact systems in a collaborative, agile environment.

Key Responsibilities

• Contribute to the development and support of systems that ingest, validate, transform, and distribute client and employee data
• Learn and apply best practices for building and consuming RESTbased APIs that support internal platforms and external partners
• Support both filebased and APIdriven data exchange solutions, with guidance from senior engineers
• Develop an understanding of how data quality, timeliness, and system behavior impact the client and administrator experience
• Assist with enhancements and defect resolution in existing systems, including batch processing and integrations
• Participate in production support activities and incident triage, using monitoring tools such as Dynatrace and Splunk
• Collaborate with product owners, analysts, and other engineers to deliver incremental improvements aligned to business priorities
• Follow established engineering standards for code quality, testing, security, and deployment

Required Qualifications

• Experience developing software using Java and familiarity with Spring Boot or similar frameworks
• Basic understanding of RESTful APIs and web services
• Exposure to batch processing, integrations, or applications that ingest and process large volumes of operational data
• Familiarity with Git/GitHub and modern development workflows
• Willingness to learn and work within a complex domain involving customer and employee data
• Ability to troubleshoot issues, ask questions, and incorporate feedback through code reviews and collaboration
• Strong written and verbal communication skills
• Demonstrates accountability, curiosity, and a desire to grow technical skills

Preferred Qualifications

• Exposure to relational databases such as SQL Server
• Familiarity with cloud platforms (AWS preferred)
• Familiarity with containerized environments (Kubernetes preferred)
• Interest in learning about API design, data validation, and secure data exchange
• Experience using IntelliJ or similar IDEs
• Exposure to Agile/Scrum development practices
• Experience supporting or maintaining production systems

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

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