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Remote Automotive Embedded Jobs in Chicago, IL (NOW HIRING)

All JobsAutomotive Embedded JobsRemote Automotive Embedded JobsRemote Automotive Embedded Jobs in Chicago, IL

Remote Automotive Embedded information

See Chicago, IL salary details

$72.1K

$158K

$179.2K

How much do remote automotive embedded jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote automotive embedded in Chicago, IL is $158,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $178,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote automotive embedded engineer?

To thrive as a Remote Automotive Embedded Engineer, you need expertise in embedded systems design, C/C++ programming, and automotive communication protocols (such as CAN or LIN), typically with a degree in electrical, electronics, or computer engineering. Familiarity with development tools like MATLAB/Simulink, RTOS, debugging equipment, and certifications such as ASPICE or ISO 26262 are highly valued. Attention to detail, problem-solving, effective remote communication, and self-motivation are crucial soft skills for excelling in this role. These skills ensure the delivery of safe, reliable, and innovative automotive software solutions while collaborating seamlessly within distributed teams.

What is the difference between Remote Automotive Embedded vs Remote Automotive Software Engineer?

AspectRemote Automotive EmbeddedRemote Automotive Software Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering, or related field; embedded systems certificationsBachelor's in Computer Science, Software Engineering, or related; programming certifications
Work EnvironmentEmbedded hardware and firmware development, often in automotive labs or remote setupsSoftware development, coding, testing in remote or office settings
Employer & Industry UsageAutomotive manufacturers, Tier 1 suppliers, embedded system companiesAutomotive OEMs, software firms, tech companies in automotive sector

Remote Automotive Embedded roles focus on developing firmware and hardware integration for automotive systems, requiring embedded systems expertise. Remote Automotive Software Engineer positions emphasize software coding and application development for automotive solutions. While both roles involve automotive industry work, they differ in technical focus and skill requirements.

What are some common challenges faced by professionals in remote automotive embedded roles, and how can they be addressed?

Remote automotive embedded engineers often face challenges such as effective communication with cross-functional teams, managing hardware access remotely, and ensuring the security of proprietary code. To address these, teams typically use collaboration tools, schedule regular virtual meetings, and leverage cloud-based development environments or remote hardware labs. Proactive documentation, clear communication of project milestones, and adherence to security protocols are essential for maintaining productivity and safeguarding intellectual property while working remotely.

What is a remote automotive embedded engineer?

Remote automotive embedded engineers are professionals who design, develop, and test embedded systems and software used in vehicles, such as control units for engines, infotainment systems, and advanced driver-assistance features, while working from a remote location. They use specialized programming languages and tools to create reliable, real-time solutions that enhance vehicle performance and safety. These engineers collaborate with automotive teams and manufacturers virtually, leveraging cloud-based tools and platforms to integrate their work with physical vehicle components.
What are the most commonly searched types of Automotive Embedded jobs in Chicago, IL? The most popular types of Automotive Embedded jobs in Chicago, IL are:
What are popular job titles related to Remote Automotive Embedded jobs in Chicago, IL? For Remote Automotive Embedded jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Automotive Embedded jobs in Chicago, IL look for? The top searched job categories for Remote Automotive Embedded jobs in Chicago, IL are:
Remote Automotive Embedded jobs near you

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Posted 26 days ago

Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).