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Manager Automotive Embedded Jobs in Washington (NOW HIRING)

Senior Staff AI Engineer

Columbia, MD · On-site

$101K - $139K/yr

... embedded platforms. • Manage a variety of projects both technically and logistically in an ... for automotive, industrial, infrastructure, and IoT industries based on the broadest product ...

Senior Staff AI Engineer

Columbia, MD

$103K - $142K/yr

... embedded platforms. * Manage a variety of projects both technically and logistically in an ... for automotive, industrial, infrastructure, and IoT industries based on the broadest product ...

Senior Staff AI Engineer

Columbia, MD · On-site

$103K - $142K/yr

... embedded platforms. * Manage a variety of projects both technically and logistically in an ... for automotive, industrial, infrastructure, and IoT industries based on the broadest product ...

Senior Staff AI Engineer

Columbia, MD

$103K - $142K/yr

... embedded platforms. * Manage a variety of projects both technically and logistically in an ... for automotive, industrial, infrastructure, and IoT industries based on the broadest product ...

... Power Electronics, Embedded Systems, Avionics, PCB Design, Power Distribution, RF, Systems ... Partner directly with engineering leadership and hiring managers to define hiring strategy ...

... Power Electronics, Embedded Systems, Avionics, PCB Design, Power Distribution, RF, Systems ... Partner directly with engineering leadership and hiring managers to define hiring strategy ...

... industrial, automotive, government and aerospace applications. We are the people behind the ... Coordinate with Product Line Management and R&D on custom configurations Customer Engagement

... management tasks. * Collaborate with Unit Architect to ensure work products are aligned with the ... embedded devices, automobiles, planes, drones, energy, and mobile. This is not your ordinary ...

... management tasks. * Collaborate with Unit Architect to ensure work products are aligned with the ... embedded devices, automobiles, planes, drones, energy, and mobile. This is not your ordinary ...

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Manager Automotive Embedded information

What are some common challenges faced by a Manager in Automotive Embedded Systems, and how can they be addressed?

Managers in Automotive Embedded Systems often encounter challenges such as coordinating cross-functional teams, managing tight project timelines, and ensuring compliance with rigorous automotive safety standards (like ISO 26262). Successfully addressing these challenges involves fostering clear communication between hardware and software teams, implementing robust project management practices, and staying updated on the latest industry regulations. Proactively identifying potential bottlenecks and encouraging continuous professional development within the team also helps ensure smooth project delivery and product quality.

What are the key skills and qualifications needed to thrive as a Manager Automotive Embedded, and why are they important?

To thrive as a Manager Automotive Embedded, you need a solid background in embedded systems engineering, automotive industry standards (like AUTOSAR), and a relevant engineering degree. Familiarity with technical tools such as MATLAB/Simulink, CANoe, and embedded software development environments, as well as certifications like ISO 26262 Functional Safety, are typically required. Strong project management, leadership, and cross-functional communication skills set outstanding candidates apart. These competencies ensure seamless project delivery, high-quality software integration, and effective team coordination in the complex automotive sector.

What are Manager Automotive Embedded jobs?

A Manager Automotive Embedded oversees teams responsible for designing, developing, and maintaining embedded systems within vehicles, such as control units, infotainment systems, or safety features. They coordinate engineering projects, ensure compliance with automotive industry standards, and manage timelines and budgets. This role typically requires a strong technical background in embedded systems, leadership skills, and experience in the automotive sector.

What is the difference between Manager Automotive Embedded vs Automotive Embedded Engineer?

AspectManager Automotive EmbeddedAutomotive Embedded Engineer
CredentialsBachelor's or Master's in Electrical, Computer Engineering; often leadership experienceBachelor's or Master's in Electrical, Computer Engineering; technical expertise
Work EnvironmentTeam leadership, project management, cross-department collaborationDesign, develop, and test embedded systems in automotive projects
Industry UsageOversees teams in automotive electronics developmentFocuses on embedded system design and implementation
Search/Comparison IntentUnderstanding managerial roles in automotive embedded systemsTechnical development and engineering responsibilities

The Manager Automotive Embedded typically oversees teams and manages projects related to automotive embedded systems, requiring leadership skills and industry experience. In contrast, the Automotive Embedded Engineer focuses on designing and developing embedded systems at a technical level. Both roles are essential in automotive electronics, but they differ mainly in scope and responsibilities.

What are the most commonly searched types of Automotive Embedded jobs in Washington? The most popular types of Automotive Embedded jobs in Washington are:
What job categories do people searching Manager Automotive Embedded jobs in Washington look for? The top searched job categories for Manager Automotive Embedded jobs in Washington are:
What cities in Washington are hiring for Manager Automotive Embedded jobs? Cities in Washington with the most Manager Automotive Embedded job openings:

Senior Staff AI Engineer

Renesas Electronics

Columbia, MD • On-site

$101K - $139K/yr

Full-time

Posted 29 days ago


Job description

Job Summary:
Renesas Electronics is an embedded semiconductor solution provider seeking a highly skilled Senior Staff AI Engineer to lead their Edge AI Applications Lab. The role involves managing R&D projects, developing edge AI applications, and collaborating with customers and internal teams to optimize AI models for microcontroller deployment.
Responsibilities:
• Lead Edge AI Applications Lab, including management of project, people, facilities and scheduling.
• Develop and maintain edge AI based applications, demos and solutions combining tiny ML models in a wide variety of physical hardware settings, including consumer devices, industrial machines and automotive.
• Collaborate with customers and internal product teams to ingest, debug, and analyze their data for model development.
• Work with other AI and embedded engineers to optimize and deploy AI models suitable for microcontrollers (MCUs) and embedded platforms.
• Manage a variety of projects both technically and logistically in an industrial laboratory setting, including planning, part procurement, instrumentation, hardware setup and creating ML models.
• Fabricate and assemble hardware setups (e.g., physical systems, sensor arrays, embedded boards) and collect data from real-world physical environments to support model development and validation.
• Mentor junior engineers and contribute to technical leadership across teams.
• Stay current with emerging technologies in AI, embedded ML, and signal processing.
Qualifications:
Required:
• Master’s or PhD in Electrical Engineering or related technical field, and 7-12 years career experience.
• Understanding of AI/ML algorithms with experience deploying models on MCUs
• Practical fabrication of prototype systems that include physical, microelectronic, and sensor elements in novel combinations, including familiarity with design tools, 3D printing, and hands-on electrical and physical assembly.
• Demonstrated experience leading engineering teams and collaborating effectively across multiple cross-functional groups
• Broad familiarity with types of sensors and their placement and applications in practical systems. Including hands-on experience with audio, electrical, accelerometers and control system signals.
• Experience working with large high-frequency sensor datasets (e.g., audio, electrical, motor control, accel, etc.), including debugging, preprocessing and ML Ops.
• Proficiency in Python, MATLAB, and C, specifically including experience with real-time edge computing and embedded systems.
Preferred:
• Background in digital signal processing (DSP) for audio and time-series data preferred.
Company:
Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. Founded in 2002, the company is headquartered in Tokyo, JPN, with a team of 10001+ employees. The company is currently Late Stage.