Experience Requirements:

• Possess deep knowledge and experience researching users, markets and products in support of developing products or features and testing for product-market fit and customer experience

• Have experience with research and experimentation in support of product prototyping and testing, future visioning and strategy development

• Have applied principles of HCI, cognitive biases, product localization and behavioral psychology to shape feature design and decisions as well as evaluate product desirability and viability

Other Requirements:

• Are comfortable developing mid-fidelity UX/UI design prototypes with a style guide and component library

• Own and execute research and design projects while having a strategic view of process improvements

• Excel in leading cross-functional teams, including senior leaders, through design thinking exercises and workshops and have influenced decisions in Product, Engineering, Business Strategy, Marketing, Sales

• Have significant track record shaping real-to-world user experiences and delivering tangible products and services to market, with at least 2 years leading creative projects to successful completion

Responsibilities:

• Conduct quantitative and qualitative user research

• Create a diverse array of design artifacts

• Design and facilitate design thinking exercises and workshops

• Enable strategic decision-making

Experience Requirements:

• Previous experience in project management roles, preferably in the manufacturing and/or technology industry (expertise in both is heavily preferred).

• Have a technical interest, a knowledge of SaaS companies, and excellent presentation skills.

• Excellent communication abilities and capacity to effectively interact with a variety of teams and clients.

• Strong leadership skills and ability to motivate and guide team members towards common goals.

• Demonstrated ability to manage multiple projects simultaneously and work under pressure in dynamic environments

Other Requirements:

• Bachelor's degree in engineering, project management, or a related field (or equivalent experience).

Responsibilities:

• Collaborate with cross functional teams to understand project requirements and establish an effective deployment plan.

• Developing a deployment plan to ensure compliance with all the agreed milestones.

• Managing delivery dates, budget and schedules, providing project direction on one or more projects while maintaining a high-quality level of service. Ensuring the quality of all deliverables.

• Managing client expectations and nurturing the client relationship by being the main point of contact for all project-related communications.

• Identify and manage potential risks, anticipating issues and developing contingency plans.

Experience Requirements:

• Factory life and client hands

• Teamwork

• Structured Data understanding

• Basic SQL understanding

• Initiative to locate data sources

Other Requirements:

• Work with 3rd parties

• Data gathering / organizing / ingestion

• Data gathering automation

• Good Analytical Skills

• Data tools

• ChatGPT prompting

• Technical Support

• Data Quality Management

• Use of Enterprise Tools

Responsibilities:

• Understand client operations

• Client stakeholder mapping and management

• Product deployment planning

• Structured Data sourcing, ingestion, validation, testing for our RealTime Factory OEE product

• Structured Data sourcing for Allie ML

Experience Requirements:

• Factory life and client hands

• Teamwork

• Structured Data understanding

• Initiative to locate data sources

• Work with 3rd parties

Other Requirements:

• Data gathering / organizing / ingestion

• Data gathering automation

• Good Analytical Skills

• Data tools

• ChatGPT prompting

• Basic SQL understanding

• Technical Support

• Data Quality Management

• Use of Enterprise Tools

Responsibilities:

• Understand client workflows

• Client stakeholder mapping and management

• Product deployment planning

• Data sourcing

• Data loading

Responsibilities:

• Create, lead and manage supplier relationships to build strong sourcing partnerships.

• Negotiate contracts and terms with suppliers to achieve favorable pricing and terms.

• Execute all purchasing payments related to Hardware, Services and Travels necessary for product deployment, ensuring timely delivery.

• Evaluate and select new suppliers to expand vendor network.

• Update and monitor Hardware & Equipment inventories to optimize purchases.

Education Requirements:

• Ideal candidates will have completed one or several machine learning courses on Coursera, such as Stanford's machine learning course, or the Deeplearning.ai specialization.

• Ideal candidates will have completed one or several generative AI courses on coursera, such as generative AI for everyone

Other Requirements:

• You are expected to understand and know the broad steps to develop and improve traditional machine learning - specifically regression and logistic regression.

• Overall you're expected to understand what generative AI is, and simply know its key capabilities. You're not expected to be a technical expert, simply to know what these things are and what to look for.

• Traditional machine learning understanding

• Generative AI understanding

Responsibilities:

• Understand latent needs and pain points

• Define predictions for ML

• Define Generative AI use cases

• Manage Road map

• Writing user stories

Benefits:

• Medical/Dental/Vision, 401K match, PTO, and federally recognized holidays

• Competitive salaries with performance incentives

• Generous vacation policy and paid holidays

• Comprehensive health, dental, and vision insurance

• 401(k) with company match

Education Requirements:

• Bachelor's in Intelligence Studies, Computer Science, Data Analytics, or a related field, or an Associate degree with significant operational experience

Experience Requirements:

• At least five years in intelligence analysis within the U.S. intelligence community, preferably with exposure to military or other intelligence sectors

Other Requirements:

• U.S. Citizenship with Top Secret/SCI Clearance

• Must meet ICD 704 eligibility criteria without waivers or conditions

• This role requires a commitment to maintain a Final TOP SECRET SCI Clearance. Dual citizenship is not permitted, and the position mandates sole U.S. citizenship, following strict federal compliance guidelines

Responsibilities:

• bring your sharp analytical skills and extensive intelligence experience to fortify our operations

• be stationed at our client site in Camp Springs, MD, leveraging your expertise in intelligence analysis to navigate complex data landscapes

• Your role will be pivotal in synthesizing actionable insights from varied intelligence sources, including cybersecurity and border security sectors

Benefits:

• Health, Dental, and Vision Insurance

• 401(k) Plan with Employer Match

• Certification Stipends

• Professional Development Opportunities

• Flexible Work Arrangements

Other Requirements:

• only applicants who are sole U.S. Citizens can be considered for this position

Responsibilities:

• Spearhead the design and execution of projects that leverage advanced technologies like Vertex AI and Document AI to solve complex problems within the federal sector

• Work closely with cross-functional teams to develop solutions that are both effective and scalable, ensuring alignment with federal regulations and organizational goals

• Analyze emerging trends and technologies to inform strategic decisions, positioning Aretec as a leader in federal contracting

• Build and maintain strong relationships with federal partners, understanding their needs and delivering solutions that drive mission success

• Provide guidance and mentorship to team members, fostering a culture of innovation, collaboration, and excellence

Education Requirements:

• Currently pursuing a degree in Sports Management, Statistics, Mathematics, Data Science, Economics, or a related field. Recent graduates may also be considered

Experience Requirements:

• Strong proficiency in data analysis tools such as Excel, R, Python, and SQL. Familiarity with sports analytics platforms is a plus

• Basic understanding of statistical techniques (regression analysis, correlation, hypothesis testing, etc.)

• Passion for sports and understanding of various sports

• Excellent communication skills, both written and verbal, with the ability to convey complex data findings in an easy-to-understand format

• Strong attention to detail and problem-solving skills

Responsibilities:

• Assist in gathering and organizing data from various sources, including game statistics, player performance data, and historical records

• Maintain and update databases to ensure accuracy and reliability of information

• Help with cleaning and preprocessing raw data to make it suitable for analysis

• Analyze sports data using statistical methods and software (e.g., Excel, R, Python, SQL, etc.) to generate insights about player performance, team dynamics, and other relevant metrics

• Support the creation of visualizations (charts, graphs, dashboards) to present data findings in a clear and understandable way

Responsibilities:

• Build personalization engines

• Build generative models

• Build dashboards

• Build forecasting models

• Build chatbots

Benefits:

• Stock Ownership Plan

• Free Snacks

• Grow & Thrive allowance

• Team Celebrations

• Health Benefits (health, dental, optical, life, LTD), Free Parking

Benefits:

• Stock Ownership Plan

• Free Snacks

• Grow & Thrive allowance

• Team Celebrations

• Health Benefits (health, dental, optical, life, LTD), Free Parking

Education Requirements:

• Bachelor’s degree in human resources, Business Administration, or a related field

Experience Requirements:

• Minimum of 5-7 years of progressive HR experience

• Experience with payroll administration and supporting HR aspects of mergers and acquisitions is essential

Other Requirements:

• HR certifications (e.g., CHRP, SHRM-CP) preferred

• Strong knowledge of HR practices, employment laws, and payroll regulations

• Excellent communication, interpersonal, and organizational skills

• Ability to manage multiple priorities and work effectively in a fast-paced environment

• Proficiency in HRIS systems (e.g., ADP WorkforceNow) and data reporting tools

Responsibilities:

• HR Operations Oversight: Lead day-to-day HR operations, including employee relations, onboarding/offboarding, performance management, and compliance with employment laws

• Policy Implementation: Ensure consistent application of HR policies developed by senior leadership, providing input based on operational needs

• Managerial Support: Partner with the Director of People & Culture to implement HR programs and provide coaching to managers on employee engagement and development

• Payroll Processing: Support accurately process monthly and semimonthly payrolls, ensuring compliance with regulations and internal controls

• Employee Support: Address and resolve payroll inquiries from employees promptly and effectively, maintaining a high level of service and confidentiality

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD in a technical field or equivalent practical experience

Experience Requirements:

• Knowledge of the latest in large machine learning research

• Experience working with simulators and real-world robots

• Expertise in using large datasets with deep neural networks to make real robots useful

• A real passion for AI impacting real world robots!

Responsibilities:

• Design, implement and evaluate models and software prototypes of robotic agents.

• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.

• Suggest and engage in team collaborations to meet ambitious research goals.

• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD/MS in Computer Science or Robotics; or equivalent practical experience

Experience Requirements:

• Experience working with real-world robots, preferably Humanoid platforms

• Strong exposure to Machine Learning/AI systems

• Experience on solving practical Safety challenges, performing Risk Assessments

• Working with different stakeholders to define and implement safety guidelines to ensure the safety of humans and robots in mixed environments, and also ensure that research velocity is not compromised

• Understanding of ISO/RIA Safety Standards

Responsibilities:

• Performing Hazard and Risk Analysis for emerging Robotics Platforms

• Provide expertise and guidance on Implementing state-of-the-art safety solutions on our robots and workcells, to enable safe data collection and model evaluation

• Working closely with Google DeepMind Robotics Researchers to accelerate development of new capabilities while ensuring safety.

• Coordinating with Environment, Health and Safety (EHS) teams to ensure consistency across GDM Robotics Labs.

• Preparing Safety training materials

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• At least 10 years experience in ASIC physical design flows and methodologies in advanced nodes

Experience Requirements:

• Experience from PD for high performance compute IPs (e.g., GPUs, DSPs, or machine learning accelerators).

• Successful track record of delivering tape-outs to production.

• Capability and strong willingness to work in PD in a research environment.

• Hands on experience and a solid understanding of ASIC physical design, physical design flows and methodologies including synthesis, place and route, STA, Formal Verification, CDC and Power Analysis using tools such as Design Compiler, FC, Innovus, PrimeTime, PrimeTime-PX, Calibre, ICV, Conformal, RedHawk, Spyglass and PowerArtist.

• Strong scripting skills in Python, TCL, BASH

Responsibilities:

• Work in a fast and interdisciplinary team bringing together experts from Machine Learning, Hardware, Programming Languages and Systems

• Work in close collaboration with HW architects and design engineers rapidly iterating experimental designs, giving rapid yet reliable feedback on the performance, power and area of different design options.

• Drive architectural feasibility studies, explore RTL/design tradeoffs for physical design closure.

• Perform block level physical implementation steps including synthesis, floorplanning, place and route, power/clock distribution, congestion analysis, STA, timing closure, EM-IR, PV, CDC analysis, LEC etc.

• Provide actionable feedback to silicon design engineers and architects for design improvements.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD in Computer Science, Statistics, or a related field

Experience Requirements:

• Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV)

• Expertise in one or more of the following areas: natural language processing, computer vision, reinforcement learning

• Experience with training, evaluating, or interpreting large language models

• Proven ability to design and execute independent research projects

• Excellent communication and collaboration skills

Responsibilities:

• Develop novel multimodal LLM architectures with a focus on memory

• Investigate post-training techniques for planning and reasoning

• Develop and evaluate applications of multimodal LLMs for personalized and agentic experiences

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• Ph.D. in Computer Science or related quantitative field, or B.S./M.S. in Computer Science or related quantitative field with 5+ years of relevant experience

Experience Requirements:

• Experience in Machine Learning (ML), especially on ML for hardware, ML for compilers or ML for optimization

Responsibilities:

• Contribute and drive ML for Physical Design, Logical Synthesis, Verification and RTL generation.

• Architect, guide and vet designs, algorithms and solutions, writing development code to solve ambiguous problems.

• Identify unsolved impactful research problems in Chip Design, inspired by current and future real world needs.

• Define Scope, plan and organise projects towards common goals.

• Amplify impact by generalising solutions into reusable libraries for many use cases. Share knowledge through publications, open sourcing and education.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• Strong track record of operational delivery against a background of complexity, with tangible outcomes

Experience Requirements:

• Extensive knowledge and expertise in program management,with the proven skill to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change

• Background in or clear understanding of communications and marketing with the ability to apply strategic planning to a wide array of contexts.

• Strong track record of cross-functional coordination across a wide variety of teams and functional areas, and a demonstrated ability to lead within a matrix organisation through diplomacy and relationship-building.

• Experience supporting teams in fast-paced and constantly evolving environments, acting as a sounding board and coach as individuals go through the change cycle

Responsibilities:

• Strategic portfolio management

• Program leadership and mission control

• Leadership partnering

Education Requirements:

• You are a resilient Assistant, with experience working in a fast-paced environment

Experience Requirements:

• You are energetic, enthusiastic and have a keen interest to continue to develop your career in supporting and enabling others. Colleagues describe you as positive, warm, kind, trustworthy and efficient; with a can-do attitude, willingness to learn and a strong desire to grow.

• Passionate about supporting and enabling others, motivated by Leader support.

• Proactive, you are a self-starter and a naturally strong problem-solver; you can anticipate what needs to be done without guidance.

• Highly organised, you manage priorities well; juggling and handling multiple deadlines and tasks efficiently, whilst being able to manage expectations in a thoughtful way.

• Can adapt quickly to changing demands and embrace ambiguity

Responsibilities:

• Strategically and proactively manage a very complex and ever-changing calendar of meetings, conference calls, interviews appointments, across numerous time zones and different office locations.

• Supporting with operational tasks and processes; suggesting ideas for continuous improvement to increase efficiencies

• Collate and track actions and deliverables

• Meeting support - circulating agendas, capturing notes and ensuring actions are followed up on and are completed. Ensure meeting roles, agendas and briefing documentation are in place for each meeting.

• Develop a strong working relationship with each leader: thinking ahead, handling priorities, anticipating needs and future challenges, proposing solutions to enable effective decision-making.