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Experience Level
Experience
Qualifications
Proven experience in application engineering or similar roles. Strong understanding of semiconductor technologies and their applications. Excellent problem-solving skills and ability to work collaboratively in a team. Effective communication skills to engage with clients and team members. Bachelor's degree in Electrical Engineering, Computer Science, or a related field.
About the job
Join Renesas Electronics as a Staff Application Engineer, where you will play a crucial role in shaping the future of technology. You will be responsible for developing innovative applications and solutions that leverage our cutting-edge semiconductor products. Your expertise will directly contribute to the success of our clients and the growth of our company.
About Renesas Electronics Corporation
Renesas Electronics is a global leader in semiconductor solutions that enable a smarter, safer, and more connected world. With a commitment to innovation and sustainability, we strive to provide our customers with exceptional products and services that enhance their competitiveness in the market.
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Join Archer Aviation, a pioneering aerospace company located in San Jose, California, dedicated to revolutionizing sustainable air mobility through our innovative all-electric vertical takeoff and landing aircraft. Our mission is to provide efficient, eco-friendly air travel, capable of carrying four passengers with minimal noise.At Archer, we aim high and tackle complex challenges. We believe that a diverse workforce enhances creativity and leads to better solutions. We are committed to fostering an equitable and inclusive workplace that values our differences and supports every team member's growth.Responsibilities:Design and develop Flight Simulation Physics Models for VTOL aircraft powered by electric and hybrid electric powertrains.Conduct vehicle-level trade studies to assess various design alternatives.Refine kinematic multi-body flight physics models, including aerodynamics, powertrain, aircraft systems, electrical, thermal, and performance model fidelity, ensuring alignment with lab and flight test data for vehicle certification.Collaborate with internal and external suppliers to seamlessly integrate their systems into our comprehensive vehicle simulation.Perform vehicle-level simulations and performance analyses using Python and MATLAB/Simulink environments.Model potential vehicle failure modes and evaluate their impact on mission objectives.Assist in design and analysis tasks to ensure high confidence in meeting business and regulatory requirements.Conduct simulations for a variety of internal engineering applications, including aircraft loads, structural design, propeller dynamics, and powertrain duty cycles.Generate performance estimates for the aircraft to be incorporated into the aircraft flight manual, flight management systems, and airline operations.
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Full-time|$152.1K/yr - $202.1K/yr|Hybrid|San Jose, California, United States
Archer Aviation develops all-electric vertical takeoff and landing (eVTOL) aircraft for four passengers, with an emphasis on low noise and sustainable air travel. Based in San Jose, California, the company is committed to making environmentally friendly mobility more accessible. Archer values diverse perspectives and aims to create an inclusive workplace where everyone can thrive. Role overview The Staff Modeling & Simulation Engineer will advance vehicle modeling, simulation, and analysis for Archer's eVTOL aircraft. This role supports technical development and works across teams to help ensure vehicle performance and safety. Main responsibilities Vehicle performance & modeling: Develop and refine vehicle performance models, conduct trade studies at the vehicle level, and set and validate performance requirements. Handling & maneuvering: Assess flying and handling qualities, determine maneuvering parameters, and verify the aircraft meets responsiveness and safety standards. Dynamics & aeromechanics: Carry out system identification and linearization of complex vehicle dynamics. Analyze aeromechanics and aeroelasticity to support stability. Flight controls support: Support flight control system design, including notch filter development and defining operational envelopes. Simulation & hazard analysis: Characterize aircraft performance and capabilities through simulation, supporting Functional Hazard Analyses (FHAs) at the vehicle level. Data analysis & model validation: Analyze flight test data, identify sources of inaccuracies in models, and improve vehicle physics models. Systems integration: Collaborate with internal and external suppliers to integrate systems into vehicle simulations, including dynamics, powertrain, actuation, sensors, and environmental modeling.
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Full-time|Hybrid|San Jose, California, United States
At Extreme Networks, we serve over 50,000 customers worldwide with our cutting-edge, cloud-driven networking solutions. Our clients rely on our award-winning services and exceptional support to propel their digital transformation initiatives, achieving remarkable advancements in their operations. With consistent double-digit growth each year, we are uniquely positioned to deliver scalable results.We prioritize inclusion as one of our core values, fostering a workplace that embraces diversity and cultivates an environment where every employee can thrive. Join us and be part of a team that values your unique contributions!Take the opportunity to be a part of something monumental at Extreme! As a global leader in networking, now is the perfect time to join our innovative team.Position: AI Staff Machine Learning Engineer - Generative AI, Machine Learning, Graph ML, Big DataExperience: 5 to 14 YearsWork Arrangement: Hybrid/RemoteOur AI Core group is at the forefront of developing platforms and solutions centered around Generative AI, including AI Agents, Retrieval-Augmented Generation (RAG), Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning Large Language Models (LLM). These innovations drive our flagship Extreme products while paving the way for entirely new offerings. We are committed to transforming how businesses manage networks by creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time. At Extreme, innovation is not just welcomed; it is expected. Join us to help shape the future of network intelligence!
Full-time|On-site|San Jose, California, United States
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Full-time|On-site|San Jose, California, United States
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Full-time|On-site|San Jose, California, United States
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Feb 9, 2026
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