Colaboratory Python Jobs in Usa

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Role- AWS with TypeScript Developer

Location- Indiana/ Boston, New Hampshire- on Hybrid mode

Core Responsibilities

• Design & Development: Build scalable RESTful APIs and event-driven systems using AWS Serverless architecture.
• Infrastructure: Write and manage cloud resources using AWS CDK (Infrastructure as Code).
• Data Modeling: Manage diverse data requirement using PostgreSQL(AWS RDS) and DynamoDB.
• Security & Identity: Design and implement robust security boundaries using AWS IAM roles, resource-based policies, Apigee and OAuth flows.
• Product Partnership: Collaborate regularly with Product Owners on feature runway, requirement gathering, and technical road mapping.
• AI-Augmented Engineering: Leverage "vibe programming" (AI-assisted workflows) to accelerate development and focus on high-level architecture.
• CI/CD: Own the release process by building and maintaining GitHub Actions pipelines.
• Observability: Own the health of services using CloudWatch, Datadog and Splunk for deep-dive logging, monitoring and alerting.
• Agile Leadership: Drive high-velocity delivery within an Agile team environment.

Technical Requirements

• Languages: High proficiency in TypeScript and Java, basic understanding of Python.
• Cloud: Deep experience with the AWS Serverless ecosystem((API Gateway, Lambda, EventBridge, Step functions, SQS, SNS, DynamoDB, ElastiCache, RDS, S3, OpenSearch, IAM).
• Infrastructure: Hands-on experience with AWS CDK.
• CI/CD: Experience with GitHub Actions.
• Monitoring: Experience with CloudWatch, Datadog and Splunk.

The base compensation range for this role in the posted location is:$110,000 - 120,000/year

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

Life and disability insurance

Employee assistance programs

Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers-

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem

Are you passionate about Generative AI and want to apply it to one of the most impactful domains — cybersecurity?

Join our cutting-edge startup in the San Francisco Bay Area, where we are developing AI systems that transform how organizations understand, detect, and respond to cyber threats.

As an Applied AI Scientist, you’ll bridge AI research and real-world cybersecurity use cases — designing, implementing, and optimizing models that extract, reason, and act on complex security data.

You’ll work closely with cybersecurity experts, AI infrastructure engineers, and stakeholders to build end-to-end GenAI solutions: from concept to deployment.

This role blends deep applied research with practical engineering, ideal for someone eager to push the limits of Generative AI for meaningful impact.

Why Join Us:

• $25M Seed Funding: Strong capital foundation to innovate and scale fast.
• Early Success: Trusted by Fortune 500 companies, validating real-world demand.
• Experienced Leadership: Founders with 25+ years in cybersecurity — previous ventures valued at $3B+.
• Elite AI Leadership: Heads of AI, Engineering, and Product from world-class tech companies.
• Advanced AI Stack: LLMs, embeddings, RAG systems, LangGraph orchestration, and multimodal AI.
• Competitive Compensation: Excellent salary, meaningful equity, and room for technical leadership growth.
• Cybersecurity Knowledge Preferred but Not Required: We’ll teach you the domain — you bring the AI innovation.

Key Responsibilities:

Core Applied AI Research

• Collaborate with cybersecurity researchers and stakeholders to scope AI-driven solutions to security problems (e.g., vulnerability management, code analysis, threat detection).
• Conduct applied research using the latest LLMs and embedding models (Claude, Google GenAI, Unsloth, vLLM).
• Prototype, fine-tune, and evaluate GenAI and RAG/CAG architectures for classification, summarization, reasoning, and context synthesis.
• Perform embedding-level optimization for text, code, and image data using Unsloth, Hugging Face, Voyage, or similar frameworks.

System Development & Integration

• Develop and test end-to-end AI pipelines integrating Milvus or Pinecone for semantic retrieval.
• Build agentic AI systems using LangGraph or similar frameworks to enable autonomous reasoning and task chaining.
• Collaborate with MLOps engineers to deploy and monitor AI models in production securely and efficiently.
• Contribute to synthetic data generation pipelines for fine-tuning and evaluation.

Evaluation & Optimization

• Implement evaluation frameworks using DeepEval and GenAI tools (Claude / Google GenAI) for factuality, reliability, and robustness.
• Optimize model performance across latency, accuracy, and cost using vLLM, quantization, or caching strategies.
• Maintain reproducible experiment tracking with MLflow, Weights & Biases, or internal tools.

Innovation & Leadership

• Stay ahead of GenAI trends — multi-modal reasoning, agentic orchestration, embedding adaptation.
• Explore hybrid LLM deployment strategies (local Unsloth/vLLM + cloud APIs like Claude, Google GenAI).
• Document best practices, share learnings, and mentor junior scientists on applied GenAI workflows.

Qualifications:

Required

• 4+ years in Applied AI / Machine Learning Research / Data Science.
• Strong understanding of LLMs, embeddings, RAG systems, and multimodal learning.
• Proficiency in Python and frameworks like PyTorch, Transformers, Hugging Face, or LangChain.
• Experience in prompt engineering, model evaluation, and retrieval-based reasoning.
• Hands-on experience with vector databases (Milvus / Pinecone) and orchestration frameworks (LangGraph / LangChain).
• Strong communication skills and ability to collaborate across research and engineering functions.

Preferred

• Experience with fine-tuning LLMs or embeddings using Unsloth or similar frameworks.
• Familiarity with Claude / Google GenAI APIs for cloud-based inference and evaluation.
• Exposure to cybersecurity or enterprise data (CVEs, pluginText, network or asset logs).
• Prior work on synthetic data generation and evaluation frameworks (DeepEval).
• Experience in a fast-paced startup or applied research environment.

Our Culture & Team

• Collaborative and Mission-Driven: Every project directly advances global cybersecurity.

• World-Class Mentorship: Work with senior experts from top AI and security companies.

• Growth-Oriented: Opportunities to lead GenAI initiatives and own major research tracks.

• Inclusive and Innovative: We value diverse perspectives and open experimentation.

Perks & Benefits

• Comprehensive medical, dental, and vision coverage.
• Wellness and professional development stipends.
• Equity options — your impact equals ownership.
• Access to state-of-the-art GPUs, APIs, and GenAI frameworks.

Kadence is partnered with a bio x AI company in SF, looking for an Applied Research Scientist, for an on-site, full-time position.

The company is a Seed funded biotech operating at the intersection of molecular biology and machine learning.

What This Team Does:

This group sits between pure theory and production.

They:

• Understand the mathematical frameworks from the fundamental research team
• Implement them into high-performance code
• Optimize models for GPUs
• Scale pretraining
• Improve efficiency of inference and training
• Build the infrastructure for new architectures

They do not focus on biological interpretation, this is a strictly ML role.

Key Responsibilities:

• Implement new architectures from the theory team
• Optimize model code for high-performance training
• Handle model scaling, distributed training, and inference efficiency
• Work closely with the wet lab to ensure tight feedback loops
• Contribute to open-source foundation models and publications

Qualifications:

• Degree in CS, ML, Applied Math, or related
• Strong fundamentals in ML theory, optimization, and deep learning
• Experience building or training models from scratch (not just fine-tuning)
• Experience with PyTorch/JAX
• Strong high-performance computing background
• GitHub showing not mostly Python (C/C++/Julia/etc. is a plus)
• Research pedigree (top schools or top ML teams)

Who Thrives Here:

People who like writing elegant, hardware-aware code, scaling models, and working on fundamental research problems, but with implementation responsibility.

JOB SUMMARY

As the Marketing Analytics Senior Manager at Creative Planning, you will be the strategic architect of our data-driven growth engine. You will bridge the gap between complex data science and executive-level marketing strategy, providing the insights necessary to optimize our brand presence, client acquisition, and long-term retention.

As a direct report to the Chief Marketing Officer, you will oversee the development of our analytics framework, converting raw data into comprehensive insights that inform multi-million dollar budget decisions and improve the fiduciary services provided to our clients.

JOB DUTIES

Marketing Acquisition & Performance Analytics

• Attribution Modeling: Design and manage multi-touch attribution (MTA) models to accurately assign value to various channels (Digital, Print, TV, Events, and Referrals).
• Media Optimization: Partner with the growth team to analyze channel performance, identifying high-yield opportunities to lower Client Acquisition Costs (CAC) while increasing lead quality.
• Funnel Velocity: Monitor the lead-to-client lifecycle, identifying bottlenecks in the conversion process and recommending interventions to increase sales velocity.

Retention & Client Lifecycle Analytics

• Churn Mitigation: Develop predictive models to identify "at-risk" clients and provide actionable insights to the wealth management teams to improve AUM retention.
• Cross-Sell & Share of Wallet: Analyze client portfolios and behaviors to identify opportunities for additional services (Tax, Estate Planning, Trust Services), driving deeper household penetration.
• LTV Analysis: Calculate and track Lifetime Value (LTV) across various client segments to guide long-term strategic investments.

CX (Customer Experience) Analytics

• Journey Mapping: Utilize data to visualize and analyze the end-to-end client journey, identifying "moments of truth" that impact client satisfaction.
• Sentiment & Feedback: Lead the analysis of NPS (Net Promoter Score), CSAT, and qualitative client feedback, correlating these metrics with business outcomes.
• Digital Experience: Collaborate with product and web teams to analyze user behavior on digital portals, optimizing for engagement and ease of use.

Marketing Planning & Strategic Finance

• Budgeting & MMM: Lead the annual and quarterly marketing budgeting process using Media Mix Modeling (MMM) to forecast the impact of spend on firm growth.
• KPI Framework: Establish and maintain the "Marketing Command Center"—a suite of executive dashboards that provide real-time visibility into marketing ROI.
• Strategic Advisory: Act as a primary advisor to the CMO on resource allocation, market trends, and competitive positioning based on data-driven forecasts.

Leadership & Soft Skills

• Data Storytelling: Translate "rows and columns" into a compelling strategic narrative for the CMO and Executive Planning Committee.
• Fiduciary Mindset: Uphold data integrity, accuracy, and confidentiality standards, ensuring alignment with wealth management industry regulations and fiduciary responsibilities.
• Collaborative Influence: Partner cross-functionally with IT, Finance, and Legal/Compliance teams to ensure data accessibility and accuracy.
• Agility: Operate effectively in a fast-paced environment where the ability to pivot based on new data is essential.

REQUIRED EXPERIENCE / QUALIFICATIONS

• Experience: 8–12+ years in marketing analytics, business intelligence, or data science, ideally within Financial Services, Wealth Management, or a high-growth Professional Services environment.
• Education: Bachelor’s degree in a quantitative field (Statistics, Economics, Finance, Data Science). Master’s degree or MBA preferred.
• Data Stack: High proficiency in SQL and experience with BI tools (Tableau, Power BI, or Looker). Experience with Snowflake or similar cloud data warehouses is a plus.
• MarTech: Familiarity with Salesforce (CRM), marketing automation platforms (HubSpot/Marketo), and Google Analytics 4.
• Statistical Modeling: Experience with Python or R for predictive modeling and advanced statistical analysis.

Power Systems / Interconnection Engineer

BESS / Solar PV Development Company

Austin, Texas (hybrid)

About the job:

Circular Resourcing are pleased to be working with a fast growing developer / operator of utility scale BESS and Solar projects with a portfolio of projects within the ERCOT & MISO markets to appoint an ambitious and experienced Power Systems / Interconnection Engineer based in Austin, Texas.

Package: negotiable for right candidate plus bonus & benefits (401k, medical, dental etc)

Job Summary:

Reporting into the Head of Interconnection, you’ll play a key role in the full lifecycle of a growing portfolio of solar and BESS projects.

Responsibilities:

• Manage Interconnection process – site evaluation, power flow studies, manage grid/interconnection applications, economic modelling.
• Subject matter expert throughout the company across development, execution and construction of the interconnection process.

Essential Functions:

• Manage and track projects across their portfolio and communicate progress with ISO’s, internal teams, TSPs and other stakeholders to ensure progress.
• Conduct power flow modeling, interconnection analyses, economic assessments, and utility coordination to identify optimal locations and sizes of future projects.
• Perform transmission analysis to evaluate constraints, congestion, curtailment risk, and basis risk relevant to each project.
• Assist commercial team with reviewing and negotiation interconnection agreements.
• Oversee design and development of single-line diagrams for interconnections.
• Develop and track schedules and milestones in coordination with the master project schedule and EPC timelines.
• Staying informed about industry developments and provide regular company updates
• Assist in the registration of generators with utilities, RTO/ISOs etc
• Support ISO, NERC, FERC, and other regional compliance efforts.

Qualifications:

• Bachelor’s degree in Electrical Engineering
• 4+ years of experience in transmission planning, power system studies or related area.
• 2+ years of experience with relevant power systems systems (PSSE, Plexos, PowerWorld, TARA etc)
• Familiar with interconnection processes, particularly within the ERCOT and MISO markets.
• Python experience is highly desirable

Postdoctoral Bioinformatics Fellow

Cancer Genomics

Seeking a Postdoctoral Bioinformatics Fellow (Computational Cancer Genomics) for a prestigious academic institution located in Boston, MA.

Salary: $70,000-75,000/year

Employment Type: Full Time; Direct Hire

Job responsibilities include:

• Conduct large-scale data analysis to decode the genomic principles underlying tumor development and identify actionable lesions for precision medicine.
• Design, develop, and implement advanced computational algorithms to identify both coding and noncoding drivers within complex cancer genomes.
• Utilize and enhance computational platforms to design driver-directed combination therapies and innovative cancer treatments.
• Collaborate on clinical studies to integrate genomic findings into patient care, specifically focusing on improving early-stage diagnoses and PET/CT imaging interpretation.
• Stay at the forefront of sequencing technologies to maximize their clinical utility in genome-inspired diagnostics.

Qualifications:

• PhD in computational biology, biostatistics, genetics or a related scientific field.
• Strong programming experience preferably in Python, R, Java, C++ or Matlab.
• Strong publication record and scientific writing skills.
• Demonstrated skills in analysis of genomics data including Somatic mutation data, cancer genomics, and/or cancer biology.

Summary

The Project Engineer is responsible for planning, developing, coordinating, and managing engineering activities for multiple construction projects. This role provides technical expertise and project oversight, ensuring that all administrative and engineering aspects align with project goals. Working closely with internal teams and external partners, the Project Engineer plays a critical role in optimizing processes, ensuring regulatory compliance, and maintaining alignment between project plans and on-site execution. This position supports multiple concurrent projects while gradually taking on leadership responsibilities, with the potential for career advancement into a management role.

Essential Duties And Responsibilities

• Generate work plans, project schedules, submittal data, CAD drawings, etc.
• Track project quantities and generate project billing. Assist field personnel, Project Superintendents, Foreman, and Crews to coordinate work effectively and resolve problems.
• Participate in and support up to 10 concurrent projects.
• Provide regular updates to clients on project status, timelines, and key developments.
• Develop, implement, and optimize processes to improve efficiency and productivity.
• Work closely with field employees to ensure alignment between project plans and on-site execution.
• Assist in budgeting, scheduling, and resource allocation.
• Ensure compliance with industry regulations, company policies, and safety standards.
• Coordinate material procurement, supplier relationships, and quality control efforts.
• Analyze data and generate reports to support informed decision-making.
• Gradually take on more leadership responsibilities with the potential to transition into a management role.

Requirements

• Must live near or be willing to relocate to the Denver Metro area.
• Strong problem-solving skills and the ability to work independently.
• Experience working on multiple projects simultaneously.
• Excellent communication, interpersonal, and leadership skills.
• Ability to learn quickly and adapt to evolving responsibilities.
• Strong organizational and time-management skills.

Education And Experience

• Bachelor’s degree in Engineering, Construction Management, or a related field.
• Experience with advanced reporting and analytics tools (Power BI, SQL, Python, etc.) is a plus.
• Previous leadership or mentorship experience is a plus.
• Experience with mass earthwork or foundation projects is a plus.

Candidates that accept an offer of employment are required to undergo and successfully complete a pre-employment physical examination. This exam is essential to ensure that all potential employees meet the necessary health and fitness standards for the role. The examination includes a series of tests and evaluations conducted by a certified medical professional to assess overall physical health, identify any potential medical conditions that could interfere with job performance, and verify that the candidate is capable of safely performing the essential duties of the position.

Completion and clearance of this physical are mandatory steps in the hiring process.

Position Overview

The Transmission Planning & Interconnection Manager is responsible for leading

interconnection and transmission-related activities throughout the development and execution

of utility-scale renewable energy projects. Working under the guidance of senior

interconnection leadership, this role supports projects from early site screening through

construction and commissioning. Responsibilities include technical analysis, coordination

with utilities and system operators, oversight of interconnection studies, and support of

regulatory and compliance activities. The position serves as a primary technical interface

between internal teams, external consultants, transmission owners, and market operators.

Key Responsibilities

• Oversee interconnection activities for a portfolio of solar and battery storage projects

across multiple stages of development and construction.

• Coordinate closely with transmission owners, RTOs/ISOs, consultants, and internal

stakeholders regarding applications, studies, modeling assumptions, and technical

requirements.

• Perform and direct power flow, interconnection, and economic analyses to evaluate

site viability, system impacts, and optimal project sizing.

• Analyze transmission constraints, congestion exposure, curtailment risk, and nodal or

basis risk associated with prospective and active projects.

• Support the review, negotiation, and execution of interconnection agreements,

including technical schedules and exhibits.

• Guide the development and review of preliminary interconnection designs, including

single-line diagrams and protection concepts.

• Develop and manage interconnection schedules aligned with overall project

development plans and EPC timelines.

• Monitor the engineering, procurement, and construction of interconnection facilities

executed by utilities or third-party contractors, including leading coordination calls as

needed.

• Track market rule changes, ISO stakeholder processes, and transmission planning

updates, and communicate relevant impacts to project teams and leadership.• Support generator registration activities with utilities, RTOs/ISOs, and applicable

regulatory bodies.

• Assist with compliance efforts related to ISO, NERC, FERC, and other regional

reliability or market requirements.

Qualifications & Experience

• Bachelor’s degree in Electrical Engineering, Power Systems Engineering, Computer

Engineering, or a related discipline.

• Minimum of 5 years of experience in transmission planning, interconnection, power

markets, or related roles within the electric power industry.

• At least 3 years of hands-on experience with power flow, production cost modeling,

or transmission analysis tools such as PowerWorld, PSS®E, PLEXOS, TARA, or

similar platforms.

• Demonstrated project management capability; professional certification (e.g., PMP) is

a plus.

• Proven ability to work independently, manage multiple priorities, and drive complex

workstreams to completion.

• Strong written and verbal communication skills, with the ability to present technical

information clearly to both technical and non-technical audiences.

• Highly organized with strong analytical, problem-solving, and attention-to-detail

skills.

• Experience with interconnection processes in ERCOT and MISO markets is strongly

preferred.

• Prior responsibility for managing interconnection applications and studies is highly

desirable.

• Programming or automation experience, particularly using Python, is a plus.

• Ability to advocate for and protect organizational interests in technical and

commercial discussions.

We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more.

As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing.

When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow.

Job Description:

Position Overview:

• We are seeking a highly skilled and experienced Software Defined Vehicle (SDV)
• System Architect to join our team.
• The ideal candidate will play a pivotal role in designing and
• implementing the architecture for our next-generation software-defined vehicles.
• This role requires a deep understanding of automotive systems, software development, and system integration.

Key Responsibilities:

• Requirements Analysis: Analyze customer and stakeholder requirements and derive system constraints for finding optimized solutions for software-defined vehicle systems.
• Design: Develop and define overall system HLD for software-defined vehicle systems, ensuring key constraints like safety, security, privacy, regulatory compliance along with scalability, reliability, and performance in mind.
• Apply a data-driven approach in evaluating design alternatives considering futuristic mindset and document the decisions.
• Interface Development: Develop system interfaces for signal oriented or service-oriented Architectures using standard interface definition language (IDL) and create comprehensive API documentation.
• System Modeling: Model system components using SysML/UML tools.
• DFMEA: Own and craft DFMEAs through the standard development process.
• Support product/feature validation and failure root cause analysis.
• System Integration: Collaborate with cross-functional teams to integrate software with hardware components.
• Verification and validation: Ensure quality and reliability of software and hardware through rigorous testing and validation processes.
• Technical Leadership: Provide technical guidance and mentorship to engineers, ensuring best practices in software development and system design.
• Automation and Quality Measures: Champion automation of software and system quality measures at all stages – requirements, design, development, and integration – leveraging tools and techniques like TDD, Gherkin (BDD), TestRail, and Google Test.

Qualifications:

• Education: Bachelor’s or Master’s degree in computer science, Electrical or Electronics
• Engineering, Mechatronics, Robotics, or a related field.

Experience:

• Minimum of 8 years of experience in software architecture, system design, and integration within the automotive industry.
• 5 years of experience in Systems Engineering, preferably in the Automotive domain.
• 5 years of proven working experience in Software Engineering – embedded.
• 3 years of programming experience in C / C++ / Python.
• 3 years of work experience in Agile project involvement.
• Familiarity with ASPICE, ISO 26262, and SAE standards.
• Familiarity with connected vehicle distributed systems, embedded automotive development boards (Qualcomm, Renesas, NXP, etc.).
• Knowledge of SysML and modeling language/tools.
• Automotive domain experience in component-level system design and integration using automotive network technologies (LIN, CAN, Ethernet)
• Knowledge of AUTOSAR software stack, Android software stack, domain controller architecture, and software-defined architecture.
• Knowledge of communication protocols like MQTT, gRPC, SOME/IP.
• Experience with unit, integration, regression, user testing, and load testing.
• Exceptional analytical and problem-solving skills.
• Excellent leadership and interpersonal skills.
• Great collaboration and communication skills.

Preferred Qualifications:

• Experience in hands-on development and troubleshooting of embedded systems.
• Experience in functional safety and cybersecurity.
• Understanding of SOLID design principles and clean code practices.
• Experience with CI/CD tools and developing automation frameworks.
• Knowledge of service-oriented architecture concepts, and microservices architecture principles.

Why Join Us:

• Opportunity to work on cutting-edge technology in the automotive industry.
• Collaborative and innovative work environment.
• Competitive salary and benefits package.
• Career growth and development opportunities.

ALTEN Technology is an Equal Opportunity Employer. Our Policy is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual’s age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status.

Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process.

Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Position Overview

We are seeking a highly experienced CAE Durability Engineer – Technical Specialist to lead the structural durability and fatigue validation of critical vehicle systems. This role is responsible for driving virtual sign-off processes, advanced simulation analysis, and correlation between simulation models and physical testing to ensure the durability and reliability of vehicle structures, particularly for electric vehicle architectures.

The ideal candidate will serve as a subject matter expert (SME) in structural durability, guiding engineering teams through simulation-based design validation while collaborating cross-functionally with design, manufacturing, and testing teams.

Job Duties for Durability CAE Tech Specialist

Core Responsibilities

• Virtual Sign-off & Validation: Lead the structural durability and fatigue sign-off for critical systems like body structures, frames, and electric vehicle (EV) battery trays before physical prototype builds.
• Advanced Simulation Leadership: Oversee complex, full-vehicle explicit and implicit dynamic simulations (e.g., ground strikes, curb strikes, and cyclic loading) to assess structural resilience.
• Model Correlation: Drive the alignment between virtual simulation models and physical test results from proving grounds or lab rigs to ensure predictive accuracy.
• Root Cause Analysis: Use physics-based principles and simulation data to diagnose and resolve durability failures from early development through production.
• Technical Mentorship: Act as a "subject matter expert" (SME), coaching junior engineers and developing new CAE methodologies.
• Cross-functional Collaboration: Engage with design, manufacturing, and "Road Load" teams to develop design load targets and ensure lessons learned are integrated into future vehicle architectures.

Key Technical Skills & Qualifications

• Simulation Software Expertise: Mastery of CAE tools such as Abaqus, Nastran and fatigue solvers like nCode DesignLife or FEMFAT.
• Material Science Knowledge: Deep understanding of fatigue life prediction, plasticity, ductile failure, and metal joining methods (e.g., welding in HSLA steels or cast materials).
• Data Processing: Proficiency in pre-processors ANSA or HyperMesh and Post-processors HyperView or Meta/Post. Familiarity in scripting languages like Python or MATLAB for automation would be a plus.
• Communication & Presentation: Excellent communication skills, both written and verbal, with a proven ability to translate complex data into clear technical and executive presentations for leadership decision-making
• Experience: Requires 10+ years of experience in structural components and CAE correlation for specialist roles.

Special Considerations:

• AI & Machine Learning:
• Proficiency in applying Reduced Order Modeling (ROM) and Neural Networks to accelerate traditional CAE simulations.
• Experience using AI-driven design tools (e.g., Altair PhysicsAI or Ansys SimAI) to predict stress and strain fields without full solver runs.
• Knowledge of Generative Design algorithms to optimize topology for durability and mass reduction.