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Remote Automotive Embedded Jobs in Alabama (NOW HIRING)

Remote Automotive Embedded information

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

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 are remote automotive embedded engineers?

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 popular job titles related to Remote Automotive Embedded jobs in Alabama? For Remote Automotive Embedded jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Automotive Embedded jobs in Alabama look for? The top searched job categories for Remote Automotive Embedded jobs in Alabama are:
What cities in Alabama are hiring for Remote Automotive Embedded jobs? Cities in Alabama with the most Remote Automotive Embedded job openings:

Senior Machine Learning Researcher

Tocaro Blue

Birmingham, AL • On-site, Remote

$132K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description


Location: Southeastern United States (Hybrid/Remote)
Transform Maritime Intelligence with Cutting-Edge AI/ML
Are you an experienced machine learning researcher ready to push the limits of AI in one of the toughest domains-maritime autonomy? At Tocaro Blue, your expertise in designing, training, and deploying custom ML models will directly advance our foundational perception stack, ProteusCore.
As a Senior ML Researcher, you will be the lead architect of Radar (and secondary EO/IR) models for object detection, semantic segmentation, and tracking. You'll design algorithms capable of distinguishing vessels, land, shoreline constructions, wakes, and markers in dynamic maritime environments where off-the-shelf models fall short.
Your work will fuel products used by:
* Defense customers developing USVs/ASVs for the U.S. Navy.
* Commercial OEMs bringing advanced marine ADAS and autopilot features to market.
This role is an opportunity to define the ML foundations of maritime autonomy-where perception evolves from situational awareness, to navigation assistance, to full autonomy.
What You'll Pioneer
Core ML and Autonomy Innovation
* Invent and refine custom deep learning architectures for Radar and EO/IR imagery, with an emphasis on semantic segmentation and temporal tracking, not just detection.
* Develop multi-stage ML pipelines (context + characteristic models, segmentation + classification) tailored to low-SNR Radar returns.
* Train models on proprietary large-scale datasets (millions of Radar samples and camera sequences) with design-of-experiment methods for data collection and annotation.
* Optimize and deploy models to resource-constrained edge hardware (CPU-only and ARM64 platforms), including C++ inference layers.
* Advance fusion-aware ML models that integrate Radar with EO/IR, AIS, and cartography for robust classification in GPS-denied or cluttered environments.
* Collaborate with fusion and autonomy engineers to ensure ML outputs integrate seamlessly into multi-target tracking and SLAM pipelines.
* Contribute to ML-Ops workflows: data management, large-scale training, continuous integration of new field data, and automated evaluation pipelines.
What Sets You Apart
Essential Qualifications
* Advanced degree (MS/PhD) in Electrical Engineering, Computer Science, Robotics, or related field.
* 7+ years applying machine learning and signal processing to real-world dynamic systems (graduate research counts if directly applicable).
* Demonstrated mastery of semantic segmentation and object classification models, ideally applied to non-vision sensor modalities.
* Expert-level Python skills with ML frameworks (TensorFlow/Keras, PyTorch, or equivalent).
Preferred Expertise
* Track record of developing ML models beyond standard YOLO-style detectors, particularly for segmentation of noisy or sparse data (Radar, sonar, or medical imaging).
* Strong background in computer vision and temporal modeling (CNNs, transformers, RNNs for sequential sensor data).
* Experience deploying ML to embedded/edge platforms with optimized C++ inference.
* Knowledge of marine, automotive, or aerial robotics systems.
* Contributions to large-scale ML data pipelines: annotation strategies, dataset balancing, simulation-to-real transfer.
* Passion for pushing the boundaries of AI in GPS-denied, cluttered, and low-visibility environments .
Why Tocaro Blue?
Competitive Compensation & Growth
* $132,000-$160,000 base salary with potential equity in a rapidly growing company.
* Comprehensive benefits: 401(k) with 4% company matching, full health/dental/vision, life & disability insurance, generous PTO.
* Continuous learning via conferences, training, and professional growth.
Innovation-First Culture
* Direct impact on defining the AI backbone of maritime autonomy.
* Work on problems unsolved in automotive AI: Radar segmentation, maritime multi-object tracking, sensor fusion in GPS-denied waters.
* Collaborative environment with elite engineers and researchers.
* Hands-on field validation through monthly data collection trips at our Pensacola test facility.
* A culture that balances innovation with personal growth.
Equal Opportunity & Eligibility
Tocaro Blue, LLC is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Individual offers are based are made based on skill and experience, geographic location, as well as role, responsibility, and leadership within the company, and other due diligence. Our hiring team will try to determine whether each candidate fits the job description and may choose, at their discretion, to redirect a candidate to another job offering that is more appropriate.
NOTICE: All candidates for this role must be eligible to access sensitive information and items that requires "US Person status", which is typically limited to U.S. citizens and legal permanent residents (a.k.a. green card holders), with few exceptions. Tocaro Blue LLC is not able to sponsor work visas for this role.