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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

JOB DESCRIPTION

Anduril’s Air Dominance and Strike Division is seeking a Software Verification and Validation Engineer. Our software engineering teams in AD&S are integral to development of flight system solutions in all domains for our warfighters. As a critical member of our team, this role is pivotal in contributing to the evolution of the company’s verification and validation processes and methodologies.

WHAT YOU’LL DO

• Lead the definition, design, and execution of product verification and validation activities throughout the product development life cycle
• Implement and automate software verification tests by defining and delivering test cases written against software requirements
• Analyze and simulate requirements per customer specifications or developed internal product requirements
• Review use cases, requirements, and specifications for products to ensure that requirements and specifications can be verified and validated
• The review also includes risk mitigations, usability, and regulatory requirements
• Execute complex testing, perform in-depth statistical analysis, and interpret results independently
• Ensure that testing and results are traced to requirements; activities are completed with objective evidence
• Summarize results in reports with conclusions or recommendations
• As a hands-on subject matter expert, lead ad hoc testing and potential failure mode analysis to characterize product designs and performance
• Conduct V&V Design Reviews as specified in project plans, and in accordance with company procedure
• Maintain knowledge of current regulatory requirements and standards as they pertain to the development and testing of products
• Provide technical leadership to a growing team
• Gain a working understanding of Anduril’s business lines and collaborate with leaders to build cohesive, end-to-end experiences for our users
• Be an advocate for excellent engineering culture across the team

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or related field, or equivalent experience
• 4+ years of experience in Software testing or related technical experience
• Experience with requirements based verification and implementation of verification strategies with a strong emphasis on automated tests
• Have extensive knowledge of software development, processes, and verification tools, such as C/C++, Python
• Track record of architecting software test plans in the Aerospace and Defense space
• In-depth knowledge of requirements management, risk based testing approaches, defect tracking, and configuration control
• Strong Knowledge of Software Testing Principles And Methodologies
• Experience in Software Development Life Cycle And Software Verification Techniques
• Knowledge of Software Quality Assurance Tools And Techniques
• Must be able to obtain and maintain eligibility for access to U.S. Top Secret material

PREFERRED QUALIFICATIONS

• Experience standing up automated hardware-in-the-loop testing infrastructure
• Functional knowledge of software development, verification, and validation requirements for DO-178 and MIL-HDBK-516C
• Experience developing testable requirements and understanding of DO-178 and MIL-HDBK-516C verification objectives
• Current eligibility at the Top Secret level preferred

US Salary Range$138,000—$207,000 USD

 

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

• Platinum Healthcare Benefits: For U.S. roles, we offer top tier platinum coverage (medical, dental, vision) that are 100% covered by Anduril for you and 90% covered for your dependents.
  • For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents.
  • For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril.
• Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents.
• Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans.
• 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition.
• Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting.
• Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well.
• A professional development stipend is available to all Andurilians.
• Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens.
• Company-funded commuter benefits available based on your region.
• Relocation assistance (depending on role eligibility).
• 401(k) retirement savings plan – both a traditional and Roth 401(k). (US roles only)

The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we’d love to hear from you!

To view Anduril’s candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

Description

Visual Computing

 

Multiple post-doc positions are available in the Immersive Computing Lab (ICL) at the Tandon School of Engineering, New York University in a wide variety of research projects that are signature scopes of our multidisciplinary group. The positions are fully funded with a competitive salary.

 

In compliance with NYC’s  Pay Transparency Act, the annual base salary range for this position is $62,500 – $90,000.New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.

We seek independent, motivated, and creative individuals to conduct fundamental research in the broad areas of virtual and /augmented reality (VR/AR), computer graphics/vision, generative AI, and neural rendering. Candidates will be making contributions to one or more research projects supported by  ongoing grants (see  ICL: Research).  Candidates will be responsible for conducting  research in the areas of theoretical and statistical modeling of human visual and multimodal perception/behaviors, generative diffusion models, cloud-based computer graphics, and  neural rendering (e.g., neural radiance fields and 3D Gaussian splatting).

The NYU ICL was established by Prof. Qi Sun (Assistant Professor at Tandon School of Engineering). The ICL is home to a highly collaborative, vibrant group of young scholars, with complementary expertise across theory, experiments, and computation. The research from ICL has been recognized as with several best paper and honorable mention awards at ACM SIGGRAPH, IEEE ISMAR, IEEE VR, and IEEE VIS.

 

Qualifications

Ideal candidates are expected to have:

ii) a Ph.D. in computer science, engineering, mathematics, neuroscience, vision science, or related fields;

 

ii) a demonstrated ability to conduct original research as evidenced by high-quality journal and conference publications;

 

iii) demonstrated project/laboratory management skills;

 

iv) the ability to strategize the goals of projects as well as design, conduct, and interpret experiments, under the mentorship of the Principal Investigator;

 

v) outstanding English language oral and written communication skills;

 

vi) a strong work ethic with the ability to work independently as well as in a research group; and

viii) the drive to pursue an excellent career in research upon completion of their post-doctoral training.

Application Instructions

Interested candidates are encouraged to contact Prof. Sun and apply for this position via Interfolio. Candidates should include a detailed curriculum vitae, a one-page cover letter, a statement of past research experience, and a list of references. The cover letter should include applicants’ research interests, and their future plans, in terms of research and in general.

 

Review of applications will begin immediately, and candidates are expected to join as early as July 2024.

 

Equal Employment Opportunity Statement:

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

 

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.

Sustainability Statement 

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

Modeling and Simulation Engineer, Lead

The Opportunity:

As an experienced Modeling and Simulation Engineer, you know that machine learning, modeling, and simulations are critical to intelligence analysis, planning, and force design. We need your technical knowledge and desire to problem-solve in support of wargaming and cyber intelligence activities, and to inform force design decisions. As a Modeling and Simulation Engineer in support of our National Security Sector, you’ll develop and execute modeling and simulation functions to support exercises, wargames, and cyber operations planning. You’ll use and adapt modeling and simulation tools to analyze resource planning and decision-making during wargames, lead efforts to design and assess new tools and methods for cyber exercise scenarios, support post-execution analysis to refine and improve future wargaming and force design activities or develop complex decision-support tools to enhance modeling and simulation capabilities in support of force design and resource planning.

In this role, you’ll own and define the direction of mission-critical solutions. You’ll be part of a large community of machine learning and data engineers across the firm, and you’ll collaborate with cyber defense professionals across the DoD to deliver world-class solutions to real-world problems. Your advanced consulting and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. 

Join us. The world can’t wait. 

You Have:  

• 15+ years of experience working with modeling and simulation
• Knowledge of defense or intelligence data sources and analytic tools
• Knowledge of cybersecurity principles, including threat vectors, vulnerabilities, and defense mechanisms
• Ability to work collaboratively in a team environment with senior military officers and support staff
• TS/SCI clearance with a polygraph
• Bachelor’s degree
• Ability to obtain an IA-T2 Certification within 45 days of start date

Nice If You Have:  

• Experience with modeling and simulation in support of military applications, including wargaming, and force design planning
• Experience with the DoD, Cyber Operating Forces, USCYBERCOM, or their components
• Experience with wargames, simulation software, or models for developing realistic threat scenarios

Clearance: 

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $125,500.00 to $285,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

About Workato

Workato is the only integration and automation platform that is as simple as it is powerful — and because it’s built to power the largest enterprises, it is quite powerful. 

Simultaneously, it’s a low-code/no-code platform. This empowers any user (dev/non-dev) to painlessly automate workflows across any apps and databases.

We’re proud to be named a leader by both Forrester and Gartner and trusted by 7,000+ of the world’s top brands such as Box, Grab, Slack, and more. But what is most exciting is that this is only the beginning. 

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. 

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. 

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

• Business Insider named us an “enterprise startup to bet your career on”

• Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world

• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

• Quartz ranked us the #1 best company for remote workers

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. You will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well-designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Evaluate and propose improvements to existing system.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (5+ years).

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Good understanding of network protocols and stacks.

• Good understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust.

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang and/or Rust.

• Background in network programming.

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Other Requirements

• Readiness to work remotely with teams distributed across the world and timezones.

Description

The Innovations in Desalination Technologies Theme at Water Desalination and Reuse Center (WDRC) in King Abdullah University of Science and Technology (KAUST), invites suitably qualified applicants holding a PhD in chemical, environmental or process engineering, to apply for a full-time post-doctoral fellowship position in the field of water desalination, focusing on the development of an artificial intelligence framework for RO systems. Candidates with background in conventional and innovative membrane-based technologies with data driven modeling approach are encouraged to apply for this position. We are looking for young scientists who are passionate about water desalination and machine learning with its potentially transformative applications in research and industry. The two-year post-doctoral position, with possible extension, is fully funded by an industry partner. Effective oral and written communication skills in English are key for dissemination purposes.

Qualifications

Required technical skills:

• Deep knowledge in membrane desalination technologies.
• Experience in Pilot facility is an advantage. 
• Experience with computational frameworks for machine learning (e.g., PyTorch and TensorFlow).
• Experience with high-performance computational environments (e.g., cloud and clusters).
• Experience with handling large-scale datasets through Python.
• Solid background in statistics and probability theory.
• Track record of high quality publication.

Stage R&D – Développement de méthodes de traitement d’image en microscopie – (F/H)

– – – – – – – – – – – –

Contexte:

Nous fournissons à nos clients une meilleure façon d’avancer et nous avons la conviction que « Demain, tout sera durable chez Michelin ».

L’innovation dans le domaine des matériaux est une préoccupation majeure pour Michelin afin de construire l’avenir dans le domaine du pneumatique, autour et au-delà. Dans ce contexte, des matériaux sont développés par nos équipes de recherche. Un besoin important de caractérisation de ces matériaux s’est dessiné afin de choisir et d’améliorer les technologies.

L’enjeu de ce stage est de produire de nouveaux descripteurs caractérisant l’état et la qualité de de composants pneumatiques à partir d’acquisitions faites au microscope optique, en particulier les descripteurs de dispersion de charges & particules. Ces descripteurs seront mis en forme afin de constituer l’élément central d’un protocole d’analyse d’image mis à disposition des utilisateurs et intégré au processus de mesure. Il pourra être automatisé.

Missions:

Dans le cadre de ce stage, vous aurez en charge un projet de développement de traitement d’images en python.

Vous serrez amené à :

• Échanger avec les experts et formaliser les besoins du protocole d’analyse.

• Réaliser un état de l’art sur les descripteurs de dispersion 2D et 3D.

• Développer et mettre à disposition les algorithmes sous forme d’une librairie python & sa documentation.

• Mettre à disposition la méthode de traitement spécifique au protocole en l’intégrant dans une interface utilisateur.

Vous aurez l’occasion d’enrichir vos compétences dans le domaine du développement, de la gestion de projet, et de la caractérisation des matériaux. Vous aurez une stack technique à respecter. A terme, les méthodes développés seront utilisées par notre service.

Compétences requises:

Python ; Traitement d’images ; User Interface

Travail en équipe ; Curiosité ; Esprit de synthèse et d’analyse ; Adaptabilité ;

Apports pour le/la candidat.e

Au cours de son stage qui se déroulera au centre de technologies de Ladoux, l’étudiant aura l’opportunité de travailler avec des experts menant des projets dans les domaines du traitement de signal, du traitement d’images, des datasciences et des spécialistes de mesures physico-chimiques. Il appréhendera les enjeux du numérique chez Michelin et approfondira dans un contexte industriel les connaissances acquises durant son cursus.

Profil recherché:

Vous préparez un diplôme BAC +5 – Formation Ingénieur(e) 3ème année ou Master 2 en Physique/Mathématique/Data science. Vous avez des compétences en programmation Python, en computer vision, et en base de données. Vous aimez travailler en équipe. Curiosité, adaptabilité, esprit de synthèse et d’analyse font partie de vos atouts.

Date de début: durée et lieu du stage

Mois de début : à compter de Mars 2025

Durée du stage : 6 mois

Lieu du stage : Centre de Recherche et Développement Michelin, ZI Ladoux

– – – – – – – – – – – –

Michelin entreprise engagée dans la mobilité durable et reconnue pour ses actions en faveur de l’expérience employé !

• Une note de 99/100 à l’index de l’égalité femmes-hommes
• Entreprise « Handi accueillante », avec un réseau de référents et ambassadeurs Handicap pour vous accompagner
• 83,5% de taux d’engagement de nos employés
• 94,6% des stagiaires et alternants nous recommandent, label “Happy Trainees” depuis 9 années consécutives
• Classé parmi les groupes du CAC 40 les plus engagés selon les Bac+5 à l’index RSE Universum 2023
• Parmi les 100 entreprises les plus attractives pour les étudiants et actifs BAC+2/3 au classement Universum 2023
• N°1 des entreprises de plus de 500 stagiaires et alternants qui rémunèrent le mieux au Classement HappyTrainees® Rémunération 2023
• Dans le Top 10 des meilleurs employeurs en France au classement Glassdoor 2023
• Dans le top 3 des entreprises du secteur « Automobile / Equipementier » en matière d’attractivité employeur à l’édition 2024 du Palmarès @EPOKA @GROUPE IFOP @Occurrence

Pour en savoir plus sur le Groupe :https://recrutement.michelin.fr

– – – – – – – – – – – –

Job Title: Standards and Automation Lead

Introduction to Role:

Are you a SAS Programming expert with a passion for making a difference in the world of drug development and regulatory interactions? If so, AstraZeneca is the place for you! We are a global, Biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. Join our R&I Biometrics team and be part of a diverse, cross-functional environment where you will get personal and professional development.

Accountabilities:

As a Standards and Automation Lead, you will apply your Clinical Data Standards (CDISC) knowledge and statistical programming expertise to increase efficiency in Respiratory and Immunology projects. You will contribute to the development and support project implementation of Corporate and Therapy Area tools, provide standards and follow-up for implementation. You will also provide input into strategic direction of clinical data standards/tools development, maintenance and governance, contribute/lead cross-functional or process improvement initiatives, and be responsible for the development of standard methodologies to improve quality, efficiency and/or effectiveness within function on Standards and/or automation.

Essential Skills/Experience:

• Degree in Mathematics (i.e., Applied Math, Engineering, etc.), Computer Science, Statistics, Life Sciences or similar area

• Strong experience in clinical drug development process, including regulatory submissions requirements.

• Excellent interpersonal skills

• Advanced SAS programming

• Experience leading department initiatives.

• Expertise in Clinical data flow and clinical development process

• Ability to lead cross functional discussion about data flow

• Experience working in the Respiratory or Immunology therapeutic area

• Other programming languages e.g., S-PLUS, R, Python, XML etc.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we are at the forefront of medical leadership across our enterprise and the healthcare ecosystem. We are always striving to transform and craft change in order to meet the needs of our patients. We enjoy change because it sparks innovation. Whether that’s driven by technology or the market. We are strong partners across the enterprise, we contribute and align to make a positive impact on patients’ lives.

Ready to make a real difference? Apply now to join our thriving BioPharmaceuticals team at AstraZeneca!

Date Posted

04-Nov-2024

Closing Date

10-Nov-2024

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.