Aerospace Engineer remote jobs - 1,179 jobs

A leading technology company is seeking a GPU Physical Design Engineer to drive advanced clocking solutions. The role involves high-speed clock distribution and collaboration with cross-functional teams. Applicants should have a Bachelor's degree with significant industry experience, strong skills in circuit simulations, and experience in SOC Clock Implementation. This position offers competitive compensation and a hybrid work model allowing flexibility between on-site and off-site work. #J-18808-Ljbffr

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > CPU Engineering As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm CPU Engineer, you will lead innovative Central Processing Unit (CPU) design efforts that have a critical impact on industries across the world. Qualcomm Engineers collaborate with cross-functional teams to design, verify, and implement multi-core CPU operations for all Qualcomm Business Units. Minimum Qualifications: • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 4+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 3+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field and 2+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. Preferred Qualifications: • Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. • 6+ years of work experience with high-performance microprocessor design. • 6+ years of work experience with high level programming (e.g., C, C++), scripting language programming (e.g., Perl, Python, etc.). • 6+ years of work experience with simulators and/or waveform debugging tools (e.g., Verilog, VHDL, etc.). • 6+ years of work experience with industry standard tools for synthesis place and/or route and design verification. • 6+ years of work experience with simulation, emulation, formal verification, or silicon validation. • 6+ years of experience in creating functional models, checkers, test plans, and/or test generation. • 2+ years experience working in a large matrixed organization. • 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). Principal Duties and Responsibilities: • Leverages advanced knowledge of computer architecture, micro-architecture, logic design, circuits, and/or physical design to develop and verify high performance and low power CPU designs. • Anticipates, identifies, and solves complex problems to ensure design completeness, functionality, power, and performance. • Collaborates with cross-functional teams to define requirements, specifications, and trade-offs (e.g., performance, power, cost, functionalities, etc.) in order to accomplish product goals. • Evaluates the design process from conceptualization to productization (i.e., architecture definition, feasibility, pre-silicon design and verification, and post-silicon validation) that meet customer and industry standards. • Writes detailed technical documentation (e.g., feature descriptions, architectural descriptions, verification test plans, and implementation details, etc.) for complex CPU designs. Level of Responsibility: • Works independently with minimal supervision. • Provides supervision/guidance to other team members. • Decision-making is significant in nature and affects work beyond immediate work group. • Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. • Has a moderate amount of influence over key organizational decisions. • Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-maildisability-accomodations@qualcomm.comor call Qualcomm's toll-free number foundhere. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $167,100.00 - $250,700.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at thislink. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

Job Title: Mechanical EngineerJob Description We are seeking a Mechanical Engineer with 5-10 years of experience in building design. This hybrid role involves designing mechanical systems in Revit for a variety of projects, including commercial, infrastructure, government, K-12, Higher Education, Healthcare, and Laboratories. The position requires three days in-office and two days remote work, with weekly site visits to assess existing conditions. Responsibilities Design mechanical systems using Revit for diverse projects. Conduct site visits once a week to evaluate existing conditions. Perform load calculations using Trane Trace or Carrier HAP. Collaborate with teams to ensure efficient project execution. Essential Skills Proficiency in mechanical design and engineering. Experience with Revit and Autocad software. Ability to perform load calculations in Trane Trace or Carrier HAP. A degree in Mechanical Engineering or related field is preferred but not required. Additional Skills & Qualifications * Flexibility to work both in-office and remotely. * Capability to pass federal drug and background checks. Work Environment The role offers a hybrid work schedule with three days in the office and two days working remotely. The position includes an average of one site visit per week. This opportunity provides significant upward mobility. Job Type & Location This is a Permanent position based out of Rockville, MD. Pay and Benefits The pay range for this position is $80000.00 - $115000.00/yr. You will accumulate 120 hours of sick/leave vacation time to use as you see fit. Sick leave and vacation time will accrue per pay period. The Company 401K plan is available from day one. WFT will provide access to the company health, dental and flexible spending plans. WFT will pay for STD/LTD coverage and life insurance equal to one times your salary. WFT paid holidays are: New Years Day, Memorial Day, Independence Day, Labor Day, Thanksgiving and the day after and Christmas. We have half days on Christmas Eve and New Years Eve. Workplace Type This is a hybrid position in Rockville,MD. Application Deadline This position is anticipated to close on Jan 23, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

As the Smart Contract Engineer, you will build a Preconfirmation Registry and smart contracts of Based Appchain Framework with team. Responsibilities Implementation of Rollup smart contracts in Solidity Take engineering projects from design to production while working with our developers to manage realistic roadmaps You may have the opportunity to participate and talk in an event, conference or podcast Requirements Enthusiasm for the modular and rollup ecosystem Proficiency with Solidity and/or Rust and competent with VMs. Experience shipping and taking engineering projects to production Nice to have A deep understanding of fraud proofs and other rollup details Familiarity with the AggLayer, Espresso, and other modular products. A deep understanding of shared sequencing Understanding of ZK and DA Benefits Unlimited vacation policy Fully remote with flexible hours Competitive salary + equity package Regular team off-sites to international locations Work alongside the brightest minds in the crypto space Top-tier health, dental, and vision coverage for US employees Spire culture We play to win We work with authenticity We do what excites us the most We iterate rather than seek perfection We focus on the long-term goal that compounds #J-18808-Ljbffr

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > CPU Engineering As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm CPU Engineer, you will lead innovative Central Processing Unit (CPU) design efforts that have a critical impact on industries across the world. Qualcomm Engineers collaborate with cross-functional teams to design, verify, and implement multi-core CPU operations for all Qualcomm Business Units. Minimum Qualifications: • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 2+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 1+ year of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field. Preferred Qualifications: • Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. • 2+ years of work experience with high-performance microprocessor design. • 2+ years of work experience with high level programming (e.g., C, C++), scripting language programming (e.g., Perl, Python, etc.). • 2+ years of work experience with simulators and/or waveform debugging tools (e.g., Verilog, VHDL, etc.). • 2+ years of work experience with industry standard tools for synthesis place and/or route and design verification. • 2+ years of work experience with simulation, emulation, formal verification, or silicon validation. • 2+ years of experience in creating functional models, checkers, test plans, and/or test generation. • 1+ year experience working in a large matrixed organization. Principal Duties and Responsibilities: • Applies knowledge of computer architecture, micro-architecture, logic design, circuits, and/or physical design to develop and verify high performance and low power CPU designs. • Anticipates, identifies, and solves problems to ensure design completeness, functionality, power, and performance. • Collaborates across teams to define requirements, specifications, and trade-offs (e.g., performance, power, cost, functionalities, etc.) in order to accomplish product goals. • Evaluates the design process from conceptualization to productization (i.e., architecture definition, feasibility, pre-silicon design and verification, and post-silicon validation) that meet customer and industry standards. • Writes detailed technical documentation (e.g., feature descriptions, architectural descriptions, verification test plans, and implementation details, etc.) for CPU designs. Level of Responsibility: • Works independently with minimal supervision. • Decision-making may affect work beyond immediate work group. • Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. • Has a moderate amount of influence over key organizational decisions. • Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Note: We have multiple positions open at different job levels. Based on experience and background, the job level will be decided. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-maildisability-accomodations@qualcomm.comor call Qualcomm's toll-free number foundhere. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $122,500.00 - $183,700.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at thislink. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

A leading engineering firm in California is seeking a mid-level Traffic Engineer to manage traffic engineering projects for public infrastructure and private development. Responsibilities include designing traffic systems, mentoring junior staff, and participating in client meetings. Ideal candidates should have a Bachelor's degree in Civil or Electrical Engineering, 3+ years of relevant experience, and proficiency in AutoCAD and MicroStation. Competitive salary range is $100,000 - $145,000, along with a comprehensive benefits package. #J-18808-Ljbffr

Who is Recruiting from Scratch:Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.About the client : Title of Role: Machine Learning Engineer Location: San Francisco, CA Company Stage of Funding: Series A Office Type: Onsite (5 Days a Week) Salary: $140,000 - $240,000 + Equity (0.2% - 0.8%) Company Description We are partnering with a rapidly growing Series A healthcare AI company that's transforming how medical systems operate. Backed by premier investors including YC and General Catalyst, the company has raised $14M and is solving some of the most complex operational challenges in American healthcare using cutting-edge AI. Their flagship platform streamlines prior authorization workflows by analyzing EHR data, accelerating patient access to care, and improving provider revenue. Despite being early-stage, the company has already signed enterprise contracts with major U.S. health systems and is scaling quickly. They are looking for mission-driven engineers who are eager to make a meaningful impact in healthcare using modern machine learning and language models. What You Will Do Design and develop LLM-powered pipelines to process various medical documents, including handwritten clinical notes. Build production-ready question-answering systems that extract actionable insights from structured and unstructured patient data. Create ML solutions that automate integrations between EHR platforms and other healthcare infrastructure systems. Own ML features from research and experimentation to scalable deployment in real-world healthcare environments. Collaborate cross-functionally with the product and engineering teams to align machine learning solutions with business goals. Continuously iterate on and improve ML models, pipelines, and infrastructure to ensure performance and scalability. Ideal Candidate Background 5+ years of hands-on experience building and deploying production-grade machine learning systems. Strong expertise in training and fine-tuning large language models (LLMs), beyond basic API use. Deep understanding of ML frameworks such as PyTorch and TensorFlow. Proven success in roles at companies with mature ML environments (e.g., FAANG, AI startups, or top-tier ML-focused orgs). Prior work in document processing, information extraction, or question-answering systems. Preferred MS or PhD in Computer Science or a related STEM discipline, or equivalent industry research and production experience. Exposure to fast-paced startup environments with small, collaborative teams. Contributions to ML research or publications are a plus, but not required. Experience in healthcare tech or working with EHR data is a bonus. Compensation and Benefits Base Salary: $140,000 - $240,000 Equity: 0.2% - 0.8% stock options Visa Sponsorship: H1B transfers supported Work Schedule: Full onsite presence (5 days/week), working west coast hours Additional Perks: Join a tight-knit engineering team of 11, with high-impact ownership and the opportunity to help shape the future of healthcare AI from the ground up. #J-18808-Ljbffr

A technology company is seeking a Senior Mechanical Engineer to design custom hardware for forestry equipment. The role is remote-first, allowing for high ownership and autonomy. Ideal candidates have experience in mechanical design and startup environments, alongside a strong technical foundation in various mechanical processes. Benefits include stock options, flexible time off, and health insurance. #J-18808-Ljbffr

About Lightfield Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks. We're rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We're building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful. We are backed by Greylock, Lightspeed, and Coatue, and our team previously built Tome, a generative AI presentation product used by over 25 million people. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce. About the role Lightfield's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers. Today, the team is focused on building a powerful, domain-specific AI that outperforms generic LLMs. We're inspired by the challenge of creating innovative new AI products for people doing serious work, and we're looking to grow our AI/ML team to meet that challenge. What you'll do Create and ship magical, highly-differentiated AI experiences that sales teams are eager to use Craft Lightfield's AI/ML strategy in tight collaboration with founders and execs Identify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutions Prototype innovative, LLM-powered experiences, and drive their development into robust product features Help build a world class AI/ML engineering team by recruiting and mentoring teammates Who you are You have a BS or MS degree in CS, AI, or applied math You have 5+ years of experience building AI/ML based products in NLP domains You have a strong understanding of deep learning AI/ML frameworks or cloud services You have hands-on ML Ops experience Bonus Points Experience leading AI/ML product initiatives Publications in applied AI/ML scientific journals Experience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc) Benefits & Perks Competitive salary Meaningful early equity Health insurance (medical, dental, vision) 3 weeks of PTO 11 paid company holidays + we enjoy a winter holiday break 3 months of paid family leave Wednesdays work from home Regular team dinners, events, offsites, and retreats 401k plan Other perks include: commuter and lunch stipend #J-18808-Ljbffr

A healthcare AI start-up is seeking a Machine Learning Engineer to accelerate product expansion. You will optimize ML models for deployment in a high-stakes environment and improve data processing pipelines. The ideal candidate will have solid software engineering skills and experience in a startup, with a passion for AI in healthcare. This role offers a competitive salary and hybrid work arrangements in San Francisco, contributing to impactful healthcare solutions. #J-18808-Ljbffr

San Francisco, United States | Posted on 01/14/2026 We're hiring a Machine Learning Engineer to lead our progression from teleoperation to autonomy. You'll use cutting-edge Vision-Language-Action (VLA) models and imitation learning to make our teleoperated robots increasingly autonomous over time. This role spans the full ML lifecycle: data capture and organization, model training and evaluation, deployment to edge devices, and continuous improvement based on real-world performance. You'll work at the intersection of robotics, computer vision, and foundation models-turning thousands of hours of human demonstrations into autonomous capabilities. What we do Avatar Robotics is building flexible robot fleets to revolutionize industrial work across the country. We're on a mission to make every tedious and dangerous warehouse/factory job virtual, safe, and semi-autonomous. With proven AI approaches and long distance teleoperation, you'll join a team that deploys a physical work solution that's scalable now, not later. We envision a world where millions of machines will make our goods and consumables more affordable and accessible than ever, while critical workers operate these robot fleets from the comfort of their homes. At Avatar Robotics, you'll create the workforce of the future-in one of the largest markets ($1T+ manual labor market in the US alone). We're a small but powerful team at the early innings of deploying thousands of units into facilities worldwide. What you'll do Design and implement data collection pipelines for synchronized sensor streams and task annotations from teleoperated robots. Build data processing systems for cleaning, labeling, and organizing multi-modal data (RGB-D, LiDAR, proprioceptive feedback). Develop and train Vision-Language-Action models, imitation learning policies, and behavior cloning systems. Deploy trained models to edge compute devices with real-time inference constraints. Collaborate with Robotics and Teleop teams to define autonomous capabilities and integrate models into the control stack. What you bring 3+ years of hands‑on ML experience, preferably in robotics, computer vision, or embodied AI. Strong foundation in deep learning frameworks (PyTorch, JAX, TensorFlow) and training large models. Experience with imitation learning, behavior cloning, or reinforcement learning in physical systems. Proficiency with computer vision techniques (object detection, segmentation, point cloud processing). Understanding of robotics fundamentals (kinematics, control theory, sensor fusion). Strong Python skills and experience with ML libraries. Bonus: Experience with Vision‑Language‑Action models, foundation models, or deploying models to edge devices. Additional Notes Our team develops on physical robots in person-expect hands‑on testing and debugging Need to be located or willing to relocate to San Francisco, CA Opportunity to shape the autonomy roadmap for a rapidly scaling robot fleet Come join us in building a new global economy, where anyone can do manual work remotely and with robo‑scale. Together, we can make goods and resources more affordable and available than they've ever been, for everyone on Earth. #J-18808-Ljbffr

Title: Machine Learning Engineer Responsibilities: Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost). Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization. Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality. Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management. Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production. Define and track performance and cost KPIs; run continuous improvement loops and capacity planning. Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations. Educational Qualifications: Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master's preferred (or equivalent industry experience). Strong systems/ML engineering with exposure to distributed training and inference optimization. Industry Experience: 3-5 years in ML/AI engineering roles owning training and/or serving in production at scale. Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements. Experience collaborating across Research, Platform/Infra, Data, and Product functions. Technical Skills: Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow. Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers. Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores. Write performant, maintainable code Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Senior RTL Design Engineer Remote / work from home US Citizen or US Permanent Resident Full-time/employee + Benefits + 401k + Stock Options Responsibilities: • Participate in architectural feasibility studies • Develop micro-architecture specifications based on the SoC requirements • Design, implement and integrate complex SoC blocks • Develop block-level test cases to deliver fully functional designs • Develop synthesis constraints and resolve timing issues • Resolve Lint, CDC, and DFT related issues • Identify and resolve RTL and GLS failures at block and chip level • Participate in ECO implementation • Assist with silicon bring-up Required Skills & Experience: • BSEE/MSEE with 10+ years of SoC design/architecture experience • RTL Design including HVLs and HDLs (SystemVerilog, Verilog) • Third Party IP Integration experience • Logic synthesis and static timing analysis • SoC design flow including chip-level design, block/IP design and behavioral modeling • Modeling SoC architectures with FPGAs • Working knowledge of standard bus protocols such as AXI/AMBA/TileLink • Experience with RISC-V architecture • Working knowledge of PCIe and DDR • Clock domain crossing methodologies • Scripting languages such as Python, Perl, Tcl, shell, etc. • Strong familiarity with EDA tools • Strong problem solving and debugging capabilities • Working knowledge of SoC design with CHISEL is a plus • Asynchronous logic design is a plus #J-18808-Ljbffr

Odins3 Remote / Seattle Full-time Posted 685 days ago AI Development 3+ years $160K - $220K 0.05% - 0.2% equity Build and deploy ML models that power our AI website builder. Work on cutting-edge algorithms for automated web design and development. About This Role Join our ML Engineering team to build the brain behind our AI website builder. You'll develop sophisticated machine learning models that understand design principles, generate beautiful layouts, and create intelligent web experiences automatically. This role combines traditional ML engineering with creative applications in web design and development. You'll work with computer vision models for design analysis, NLP systems for content generation, and recommendation engines for design optimization. Our ML Engineers work across the full stack - from research and experimentation to production deployment and monitoring. You'll collaborate closely with our AI researchers, product team, and frontend engineers to bring cutting-edge ML capabilities to millions of users. Requirements 3+ years ML engineering experience Strong Python, TensorFlow/PyTorch background Experience with computer vision and NLP Knowledge of web technologies and design principles Experience with MLOps and model deployment Understanding of design systems and UI/UX principles Experience with cloud platforms (AWS, GCP, Azure) Knowledge of containerization and orchestration Experience with A/B testing and experimentation Strong data analysis and visualization skills Responsibilities Develop ML models for automated web design Deploy and monitor ML models in production Research and prototype new AI capabilities Optimize model performance and accuracy Build data pipelines for training and inference Collaborate with design team on AI‑generated layouts Contribute to ML platform and infrastructure Required Skills & Technologies Python TensorFlow PyTorch Scikit‑learn NumPy Computer Vision NLP MLOps Docker AWS Redis Airflow Git Equity package: 0.05% - 0.2%. Unlimited PTO and flexible hours. $4,000 annual learning budget. Top‑tier hardware and equipment. Conference attendance support. Health and wellness benefits. Team building and social events. Fully remote with optional quarterly in‑person sessions. Flexible schedule with some overlap with PST hours. Reporting Structure Reports to: Senior AI Developer. Collaborates with: AI Research team, Product Engineering, Design team. Job Summary Department: AI Development Experience: 3+ years Type: Full‑time Location: Remote / Seattle Equity: 0.05% - 0.2% Posted January 12, 2024 About Odins3 We're revolutionizing web development with AI‑powered tools that make creating beautiful, functional websites accessible to everyone. Join our innovative team and help shape the future of digital experiences. #J-18808-Ljbffr

A culinary essentials distributor is seeking a Machine Learning Engineer to design predictive models and automate ML pipelines. You will work with data science teams to turn prototypes into production code. Ideal candidates have over 2 years in ML engineering, proficient in Python, and familiar with tools like TensorFlow and AWS. The role offers flexible remote or hybrid work options and a competitive salary range of $50,000 - $200,000 USD annually based on experience and location. #J-18808-Ljbffr

A leading technology company in Boston is seeking a Senior Mechanical Engineer to design and prototype innovative POS devices. The role requires collaboration across teams and extensive mechanical design experience. The ideal candidate has over 10 years in product design, proficiency in CAD tools, and a strong ability to troubleshoot. This position offers competitive salary and a hybrid work model. #J-18808-Ljbffr

Preferred Locations: Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred Who We Are: K1x is the leading data distribution platform for alternative investments. Simply put, our mission is to digitize the K-1 ecosystem. Our AI-powered K-1 extraction technologies surpass all other competition and we're the first to produce a digital K-1. Learn more at ********** About the role: We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in natural language processing (NLP) and extensive experience working with unstructured and semi-structured data such as financial statements and tax documents. As a Machine Learning Engineer, you will play a critical role in developing and implementing machine learning models that enhance our software's ability to accurately and efficiently process partnership accounting and tax documents. If you are an experienced Machine Learning Engineer or Data Scientist looking for an exciting opportunity to work on challenging problems and deliver machine learning products, we would love to hear from you. Join our team and help shape the future of alternative investments management and distribution! Responsibilities Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents. Collaborate with cross-functional teams to integrate machine learning solutions into our software products. Apply statistical analysis to identify signals, trends, and insights that can inform product development. Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment. Qualifications Masters' or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects Demonstrated experience leading end-to-end data science project implementations Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spa Cy) Preferred experience: Previous experience with applications of NLP to financial documents Familiarity with alternative investment accounting needs Experience deploying machine learning models using containerization and orchestration technologies Benefits: Unlimited Vacation Policy+ Sick Time + Holidays Paid Parental Leave Fully Remote Opportunity Healthcare Benefits and 401K Growing Startup Culture #J-18808-Ljbffr

We are seeking a seasoned Aerospace Engineer to support defense aerospace programs, with a focus on the conception, design, analysis, and validation of aerospace structures and systems that span multiple aerospace platforms. This role requires technical expertise in aerodynamics, structures, mechanisms, systems and integration, and developing Contract Data Requirements Lists (CDRLs). The incumbent will mentor junior engineers, work on integrated product teams, ensure deliverables meet contractual and regulatory requirements, and understand defense acquisition and certification processes. Ability to work independently towards assigned objectives in lieu of discrete tasking is critical. Key Responsibilities: Technical Leadership • Lead the development of aerospace structures and subsystems to include design, analysis, and integration. • Own the technical roadmap, risk assessments, and trade off studies for assigned objectives. • Mentor junior staff; collaborate to provide constructive guidance on best practices, design methodologies, verification strategies, CDRL development, and results feedback. Technical Skills • Develop lightweight, high strength structures and components using composite and metallic material systems. • Perform stress, fatigue, and durability analyses using classical hand calcs and FEA tools (Nastran, FEMAP, ANSYS). Structural optimization is a plus. • Design and integration of Multiphysics systems (electrical, thermal, fluids, mechanical) into aerospace platforms; systems may have dynamic components. • Conduct basic CFD, system level simulations, and multi disciplinary trade studies to establish or optimize designs. • Create and maintain high fidelity CAD models (CATIA, Siemens NX, SolidWorks) using an integrated modeling approach. • Generate technical drawings of variable scope and complexity that adhere to ASME standards (Single part, Inseparable Assembly, Separable Assembly, Composite, Machined, Welded, Cables, etc). • Author and/or review technical documentation, specifications, test plans, analysis reports, and CDRL deliverables. • Ability to derive requirements from voice of customer and high-level objectives. Project & Program Support • Assist program managers to define scope, schedule, cost baselines, and CDRL delivery schedules. • Interface with customers and program managers to ensure technical alignment, documentation accuracy, and schedule adherence. • Participate in programmatic external reviews (MRR, IDR, FDR, CDR). • Collaborate with cross-functional teams and internal/external stakeholders; may lead integrated product teams. • Prepare and present technical documentation, including design reviews, analysis reports, and compliance matrices to stakeholders. Innovation & Continuous Improvement • Leverage emerging technologies and methods to be a force multiplier (additive manufacturing, AI assistance, cad-based PMI, etc.). • When warranted, identify opportunities for tool and process improvements, re-evaluations, adoption of new standards, and cost reductions that have a significant impact on schedule, qualitative outcomes and financial performance. • Executes root cause analysis and develops corrective actions. Basic Qualifications • Bachelor's degree in Aerospace Engineering, Mechanical Engineering, or related field (ABET accredited). • Progressive defense aerospace engineering experience, including experience with aerospace structures, systems and flight hardware. • Strong integrated CAD modeling skills (CATIA, Siemens NX, SolidWorks). • Extensive drawing experience using ASME standards. In depth understanding of GD&T and tolerance analysis of simple and complex geometries. • Must be fluent in top-down design approaches for complex systems. • Excellent written and oral communication; ability to present complex technical concepts to mixed audience stakeholders. • Strong understanding of aerospace materials, structural dynamics, and load path optimization. • US Citizen. The ability to obtain & maintain a Secret Clearance. Desired skills • 10-15 years of progressive defense aerospace engineering experience, including 8+ years focused on aerospace structures, systems and flight hardware. • Familiarity with CDRL development derived from data item descriptions (DIDs). • Experience in writing multiple 50-100 page technical documents. • Hands-on experience with composite structures manufacturing and tooling. • Hands-on experience in metals fabrication and machining, up to 5-axis. • Prior involvement in DoD acquisition lifecycle and technical reviews (SRR, PDR, CDR). • Experience developing complex, high-cost, multi-physics products and systems from concept to delivery. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. * At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Other Important Information By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to work remotely Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedule Information Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Security Clearance Information This position requires a government security clearance, you must be a US Citizen for consideration. Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $104,500 - $184,115. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $120,100 - $208,150. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible.

Handshake is recruiting Aerospace Engineer Professionals to contribute to an hourly, temporary AI research project-but there's no AI experience needed. In this program, you'll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model's understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise. Details The position is remote and asynchronous; work independently from wherever you are. The hours are flexible, with no minimum commitment, but most average 5-20 hrs The work includes developing prompts for AI models that reflect your field, and then evaluating responses. You'll learn new skills and contribute to how AI is used in your field Your placement into a project will be dependent on project availability-if you apply now and can't work on this project, more will be available soon. Qualifications You have at least 4 years of professional experience The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models Formulate mathematical models or other computer analysis methods to develop, evaluate, or modify designs in accordance with customer engineering requirements. Plan or conduct experimental, environmental, operational, or stress tests on models or prototypes of aircraft or aerospace systems and equipment. Develop conceptual designs for aeronautical or aerospace products or systems to meet customer requirements or comply with environmental regulations. Plan or coordinate the investigation and resolution of customer-reported technical issues with aircraft or aerospace vehicles. Write technical reports and documentation, such as handbooks or bulletins, for engineering staff, management, or customers. Direct or coordinate the activities of engineering or technical personnel involved in the design, fabrication, modification, or testing of aerospace products. Evaluate product data or design outputs from inspections or reports for compliance with engineering principles, customer requirements, environmental regulations, and quality standards. Develop design criteria for aeronautical or aerospace products or systems, including testing methods, production costs, quality standards, environmental standards, and delivery timelines. Analyze project requests, proposals, or engineering data to assess feasibility, manufacturability, cost, and production timelines. Maintain records of performance reports for future reference and analysis. Diagnose performance issues by reviewing customer or field engineer reports or by inspecting malfunctioning or damaged products. Direct aerospace research and development programs. Evaluate and approve vendor selections by reviewing past performance or new offerings. Design new or modify existing aerospace systems to reduce pollutant emissions, including nitrogen oxides, carbon monoxide, and smoke. Design or engineer filtration systems to reduce harmful emissions. Develop and test autonomous systems for uncrewed aerospace vehicles. Develop software for aerospace systems. Evaluate biofuel performance specifications to determine feasibility for aerospace applications. You're able to participate in asynchronous work in partnership with leading AI labs. Application Process Create a Handshake account Upload your resume and verify your identity Get matched and onboarded into relevant projects Start working and earning Work authorization information F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI. #indhp