ALGORITHM DEVELOPER JOB DESCRIPTION

Defining what a system can see is not glamorous work until a vehicle's perception fails. The Algorithm Developer translates sensor data, camera feeds, and embedded processing constraints into reliable detection and classification logic that ADAS features depend on to perform safely. This role owns algorithm conception through validation within an engineering team accountable to functional safety standards and customer program milestones. It matters because production vehicles ship with this code.

As the Algorithm Developer, you will own the design, implementation, and verification of perception and detection algorithms embedded in automotive safety systems, directly influencing feature readiness across active customer programs. You work within a cross-functional engineering team alongside system architects, test engineers, and program managers, contributing algorithm deliverables that move programs from prototype to series production.

Career Impact: Delivering production-grade ADAS algorithms for series vehicles builds verified embedded engineering credentials that are in high demand across Tier 1 suppliers and OEM programs globally.

Business Impact: The perception logic this role produces determines whether driver assistance features perform within functional safety requirements, directly affecting vehicle certification and program launch timelines.

Growth Opportunity: Depth in embedded algorithm development and ADAS sensor integration positions candidates to advance toward lead or architect roles overseeing full feature roadmaps across vehicle platforms.

Company Value: These roles frequently operate within cross-functional Agile teams that span hardware, software, and systems engineering, offering broad technical exposure across disciplines within a single program.

• Design and implement embedded algorithms for ADAS perception features including object detection and environment classification.
• Develop and maintain automated test coverage for algorithm functionality across sensor input scenarios.
• Validate algorithm outputs against functional requirements on target embedded hardware.
• Integrate algorithm components within larger software builds and verify end-to-end feature behavior.
• Contribute to algorithm roadmaps and feature planning aligned with product and program strategies.
• Document algorithm concepts, design decisions, and verification results to meet series development standards.
• Collaborate with system and hardware teams to resolve integration issues and support vehicle testing activities.

• Bachelor's degree in Computer Science, Electrical Engineering, Electronics, or a related field, or equivalent work experience.
• 3 or more years of algorithm development experience in automotive or embedded systems environments, with exposure to ADAS sensor data.
• Proficiency in embedded C programming with solid applied mathematics knowledge including geometric transformations and nonlinear filtering.
• Experience designing and executing test cases for algorithm validation in embedded target environments.
• Working knowledge of software development methods and standards applicable to automotive program delivery.
• Ability to read and interpret system and software requirements and translate them into verifiable algorithm behavior.
• Strong analytical and problem-solving skills with the ability to work independently and take initiative.

• Experience with ADAS sensor modalities, including radar, camera, or lidar, and understanding of data processing pipelines specific to those inputs.
• Familiarity with algorithms, rapid prototyping workflows, and simulation-based validation methods.
• Knowledge of CI/CD practices in embedded software environments, including version control and automated pipeline integration.
• Prior exposure to RFI and RFQ processes or direct customer-facing technical alignment activities.

• Algorithm validation pass rate against functional requirements on embedded target hardware.
• Test automation coverage percentage across defined ADAS feature input scenarios.
• Defect escape rate from algorithm integration into system-level builds.
• Documentation completeness score against series development work product checklists.
• Vehicle testing readiness, measured by algorithm stability at planned demo and audit milestones.
• Typical tools: embedded development environments (commonly C and C++ toolchains); scripting and prototyping (commonly Python and MATLAB or Simulink); test automation (commonly CANoe and CAPL).

• Base Salary Range: $95,000 to $135,000 annually, depending on seniority and location.
• Bonus: Annual performance bonus typically 8 to 12 percent of base salary.
• Equity: Stock options or RSUs offered at select employers, less common at Tier 1 suppliers.
• Health Benefits: Medical, dental, and vision coverage, typically employer-subsidized.
• PTO: 15 to 20 days annually plus standard US public holidays.
• Common Perks: Tuition reimbursement, professional development budget, and vehicle testing site access.

Figures are estimates based on general US market benchmarks and may be outdated. Adjust based on location, company size, and seniority level.

Work authorization in the United States is required at the time of hire and must be maintained throughout employment. All qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, and local law. The nature of this role in safety-critical automotive systems means that offers of employment are contingent on successful completion of a background check. Candidates requiring a reasonable accommodation during the application or interview process may request one at any time.

The Algorithm Developer owns the design and deployment of energy management strategies, including real-time pricing, frequency regulation, and demand response algorithms, for Shell Recharge Solutions' cloud-based and embedded Linux platforms. Working alongside cross-functional engineering teams, the developer builds tools that enable accurate site load forecasting and resource optimization, directly supporting Shell's mission to advance electrified transportation.

Key Responsibilities

• Create energy management strategies based on available markets such as real-time pricing, frequency regulation, demand management, and demand response.
• Model site load profiles for performance forecasting and predictive logic.
• Develop algorithms for the management of distributed resources.
• Participate in all aspects of the product development process with emphasis on software development and testing.
• Develop analysis tools to provide system sizing, optimal technology blend, and financial performance.
• Create and maintain software requirements and design documentation.
• Write algorithms deployed into a cloud-based microservice architecture and embedded Linux controllers.

Required Qualifications

• Bachelor's degree in mathematics, science, or engineering with 6 years of relevant professional experience.
• 5+ years of Python experience in a development environment, including 3+ years developing and deploying predictive and resource optimization algorithms.
• Experience in energy, utilities, SaaS, or project development strongly preferred.
• Proficiency in Python, NumPy, SQL, and NoSQL databases, with familiarity with Docker, CI/CD, GitLab, and gRPC.
• Experience working in an Agile SCRUM engineering environment with a track record of delivering reliable and robust products.
• Strong problem-solving, organizational, and process management skills with the ability to work across functional areas.
• Passion for environmental issues and renewable energy.

Embedded within Stoneridge's engineering team, the Algorithm Developer develops advanced AI features for the MirrorEye product, including camera calibration, image stitching, trailer feature detection, and object detection for commercial vehicles. Working closely with system and software teams, the developer delivers machine learning model artifacts compiled for embedded targets, enabling safer and more capable commercial vehicle systems worldwide.

Core Functions

• Develop AI features including camera calibration, image stitching, trailer feature detection, and object detection for commercial vehicle systems.
• Train, test, optimize, quantize, and compile machine learning models to deliver artifacts for embedded systems.
• Integrate and verify developed features against functional requirements on embedded target environments.
• Build simulations using IPG CarMaker and other simulation tools.
• Perform data analysis with feature testing logs and write testing reports.
• Contribute to IP development and patent applications.
• Define test methodology using Design of Experiment and join vehicle testing.

Qualifications and Experience

• Master's degree with 1-3 years of related experience, or PhD with strong research experience in AI.
• Strong coding, modeling, and simulation.
• Experience with MATLAB, Simulink, C++, and Python.
• Machine learning model training experience with TensorFlow and PyTorch.
• Strong problem-solving capability with a self-motivated and team-oriented working style.

Reporting to the R&D leadership at Continental's Budapest Application Development Center, the Algorithm Developer designs classical and AI algorithms that describe static driving environments, including drivable areas and situational boundaries, to advance automated driving solutions. Partnering with internal and external customers through workshops, audits, and vehicle testing, the developer creates the full set of work products from requirements through validation that bring series software to production.

Primary Duties

• Develop software algorithms, both classical and AI, for describing static environments including drivable areas, boundaries, and driving situations in complex real-world environments.
• Create all necessary work products along the development process from requirements, design, and planning through implementation, verification, and validation.
• Provide component and feature roadmaps aligned with product strategies for existing and future development.
• Apply and comply with R&D processes and standards within the group and ensure adequate documentation.
• Align and interact with internal and external customers and participate in workshops and audits.
• Support demos, including vehicle testing and contribute to RFI and RFQ processes.

Skills and Qualifications

• University degree in Computer Science, Electronics, Electrical Engineering, or a related technical field.
• Several years of experience in automotive environments and ADAS sensor development in embedded C.
• Knowledge of data processing, radar and sensor technologies, and software development methods and standards.
• Knowledge of algorithm rapid prototyping using MATLAB and Python.
• Good command of English with strong communication skills and a collaborative, open-minded, team-player attitude.

Sitting at the intersection of embedded software engineering and automotive safety, the Algorithm Developer designs, implements, and documents algorithm concepts for embedded target platforms while automating tests for ADAS features using CANoe, C, C++, and Python. Operating across a cross-functional Agile team, the developer improves CI/CD pipelines and contributes to product customization efforts that uphold the team's quality strategy.

Duties

• Design, implement, and document algorithm concepts for embedded target platforms using embedded C.
• Be part of a passionate cross-functional Agile team developing software for ADAS features.
• Automate tests for various ADAS features using CANoe, C, C++, and Python.
• Improve CI/CD pipelines using Docker, Kubernetes, Ansible, and Python.
• Participate in defining, creating, and customizing products while assuring quality strategy compliance.
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Requirements

• Degree in Computer Science or equivalent studies.
• Previous experience in designing test cases and test automation solutions, with ISTQB as a plus.
• Advanced embedded C programming with good mathematics knowledge including arrays, geometric transformations, nonlinear filters, and probabilities.
• Proficiency in CANoe, CAPL, C, C++, and Python with GIT knowledge, and Linux operating systems as a plus.
• MATLAB/Simulink and C# knowledge as a plus, with statistics, data analysis, and image processing experience also a plus.
• Ability to work autonomously and take initiative.

A key member of the deep learning feature estimation and prediction team, the Algorithm Developer delivers algorithm concepts grounded in state-of-the-art technology, implementing them in Python and C++ while maintaining efficient and reusable codebases. Collaborating across literature review, system integration testing, and software architecture, the developer advances the team's capacity to produce reliable object detection and prediction solutions.

Functions

• Develop algorithm concepts based on state-of-the-art technology and follow the latest research and trends.
• Write research reports summarizing findings and developments.
• Implement algorithm concepts in Python and C++, writing effective and scalable code.
• Design, build, and maintain efficient, reusable, and reliable C++ and Python code.
• Conduct literature studies, algorithm concept development and implementation, system and integration tests, and contribute to general software design and architecture.

Experience and Qualifications

• Master's degree in Computer Science, Engineering, or a relevant field.
• Strong programming experience in C++, Python, and TensorFlow, with proficiency in Linux and Docker.
• Familiarity with software development concepts, including version control, code review, and continuous integration.
• Strong mathematical skills and algorithm design ability with good problem-solving skills.
• Team-oriented, self-motivated, and enthusiastic with a collaborative mindset.

Delivering optimized C++ production code and large-dataset evaluations, the Algorithm Developer shapes computer vision and machine learning algorithm development within a scrum team focused on customer outcomes. Based within a collaborative environment that values continuous learning, the developer ensures algorithms meet performance, memory, and timing requirements while staying current with research advances in computer vision and machine learning.

Accountabilities

• Design, develop, and improve computer vision and machine learning-based algorithms.
• Evaluate algorithms on large datasets to identify performance bottlenecks.
• Implement C++ production code optimized for performance, memory, and timing requirements.
• Keep up to date with the latest research results in computer vision and machine learning.
• Fluency in English and knowledge of other languages 

Technical Qualifications

• Master's or PhD in engineering physics, computer science, mathematics, or equivalent.
• Experience in algorithm development for images or other signals.
• Proficiency in C++ with preferred experience in Python programming.
• Skills and experience with machine learning are preferred.
• Proficiency in English alongside multilingual capabilities. 

As the Algorithm Developer, this role develops new computational biology algorithms, tools, and software for Spatial Transcriptomics technology, advancing the processing and analysis of high-volume ST datasets through benchmark and evaluation methods. The broader R&D team relies on this work to produce published research, guide junior scientists, and establish best practices for analyzing diverse biological data types across interdisciplinary and international projects.

Activities

• Develop new computational biology algorithms, tools, and software for Spatial Transcriptomics technology.
• Process and analyze high volumes of ST datasets to develop benchmarks and evaluation methods for ST-related algorithms and tools.
• Organize, write, and publish research papers related to newly developed algorithms and tools.
• Evaluate and compare best practices for processing and analyzing different data types.
• Provide guidance and training to junior research scientists within broad interdisciplinary and international R&D teams.

Position Requirements

• Bachelor's or Master's degree with strong machine learning or statistics components.
• Experience PhD in mathematics, physics, computer science, applied mathematics, or biology.
• Rich algorithm development experience with proficiency in statistical or machine learning methods.
• Ability to program in Python or R, with experience in bioinformatics or computational biology as a plus.
• International experience at top-tier computational institutes preferred.

Algorithm Developer leads the conception and deployment of trading algorithms in a highly competitive real-time environment, drawing on creative research, literature review, and novel ideas across machine learning, statistics, and signal processing. Success in the position means collaborating effectively with researchers and developers across teams while bringing strong mathematical, statistical, and programming skills in C/C++ and Python to deliver results in quantitative finance.

Operational Focus

• Perform creative thinking, research, and literature review to conceive innovative.
• Novel ideas in machine learning, statistics, and signal processing.
• Develop and apply trading algorithms in a highly competitive real-time environment.
• Collaborate with other researchers.
• Developers across teams.

Knowledge, Skills, and Abilities

• Degree in Computer Science, Physics, Mathematics, Engineering, or a related field with a 90+ GPA.
• 2 years of relevant industry experience, with prior experience in quantitative finance as a strong advantage.
• Strong statistical, mathematical, and problem-solving skills.
• Strong programming skills in C/C++ and Python.
• Intellectual curiosity, self-motivation, and the ability to communicate within and across teams.

The Algorithm Developer produces clinical and product roadmaps for implantable, video, and wearable monitoring technologies at LivaNova, applying creative engineering methodologies to algorithm requirements development, modeling, simulation, and optimization. Working alongside R&D, Clinical Operations, and Marketing groups, the developer ensures that hardware capability assessments and literature-informed algorithm designs translate into fielded products that meet patient and customer needs.

Role Responsibilities

• Develop the vision, strategy, product, and clinical roadmaps for algorithm development covering implantable and potentially video and wearable monitoring technologies.
• Research clinical literature to inform algorithm design and evaluate hardware performance to ensure device capability.
• Work closely with R&D, Clinical Operations, and Marketing groups to ensure customer needs are met.
• Apply creative and innovative engineering solutions and methodologies to meet customer needs while minimizing customer impact.
• Demonstrate success in algorithm requirements development, concept engineering, modeling and simulation, sensitivity analysis, and optimization.
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Professional Experience

• PhD with 2+ years of experience, or Master's degree in Physics, Computer Science, Mathematics, or a relevant engineering discipline with 5+ years of experience as a Research Scientist or Algorithm Developer.
• Advanced skills in MATLAB or Python, image processing, machine learning, and analog and digital signal processing.
• Advanced skills in algorithm development and implementation.
• Experience in C/C++ programming and firmware implementation.
• Desired experience with OpenGL, OpenCL, and GPU-based coding.

Embedded within the perception engineering team, the Algorithm Developer develops computer vision and deep learning applications for Interior Monitoring Systems, including image and video processing algorithms that reconstruct and enhance 3D images from sensor raw data. Working closely with hardware and software stakeholders, the developer refines embedded real-time algorithms and documents evaluations that bridge customer requirements and final deployed solutions.

Job Functions

• Develop computer vision and deep learning applications for Interior Monitoring Systems perception.
• Develop image and video processing algorithms to reconstruct and enhance 3D images from sensor raw data.
• Optimize algorithms targeting embedded real-time systems.
• Perform research and development for new image and video processing algorithms and deep learning designs.
• Evaluate, profile, and document developed applications.
• Analyze customer and design requirements to identify gaps needed for development and testing activities.
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Education and Experience

• Bachelor's degree in Computer Engineering, Computer Science, Electronics, or Communications Engineering, with Master's or research experience highly preferred.
• 0-7 years of relevant experience depending on seniority level from Junior to Principal Algorithm Engineer.
• Advanced image and video processing, computer vision, machine learning, and deep learning skills.
• Proficiency in Python and C++ with experience using TensorFlow and PyTorch.
• Knowledge of image enhancement algorithms, camera model optimization, and algorithm optimization for embedded systems as a plus.
• Excellent command of English, both written and verbal.

Reporting to the Algorithm Development team at GBatteries, the Algorithm Developer develops and tests battery management system components for the ABMS library while building data analysis and visualization tools that support fast charge technology research. Partnering with team members on cycling experiments and model development, the developer advances cell characterization capabilities that improve the performance and reliability of GBatteries' innovative battery systems.

What You'll Do

• Develop and test components of battery management systems for the ABMS library.
• Build data analysis and visualization tools to support research and development projects.
• Develop and test profiles for the evaluation of ABMS for specific applications.
• Conduct cycling experiments for cell characterization and model development.
• Design and execute experiments to characterize Li-ion cells and improve models and algorithms.
• Support the deployment of models and data pipelines for fast charge technology.

Background and Experience

• Previous experience in at least one data analysis or development role in the industry.
• Strong proficiency in Python with emphasis on data analysis packages including NumPy, Pandas, and Scipy.
• Knowledge of discrete signal processing or related data science techniques and control systems, such as PID controllers.
• Experience in electronics, implementation of physical or chemical models.
• Knowledge of machine learning algorithms is a plus.

Sitting at the intersection of machine learning research and hardware prototyping, the Algorithm Developer designs and implements algorithms for signal processing and machine learning across novel ML and computational imaging domains. Operating across collaborative research disciplines, the developer builds and characterizes experimental systems, resolves software issues, and creates UI data visualization tools that advance overall software performance.

Key Deliverables

• Research, design, and execute machine learning and computer vision algorithms on hardware architectures.
• Develop novel ML or computational imaging algorithms and optimize existing ones.
• Collaborate with and support researchers across various disciplines and communicate work agenda, progress, and results.
• Prototype, build, and characterize experimental systems and custom hardware.
• Identify, troubleshoot, and resolve software issues and improve software performance.
• Design and develop UI tools for data visualization.
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Minimum Qualifications

• Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or a related field.
• 2+ years of experience in programming, simulation, and modeling using C/C++ and Python.
• Experience with machine learning, computer vision, object-oriented programming, and machine learning toolkits and platforms.
• Strong cross-group and cross-cultural collaboration skills.
• Ability to manage projects autonomously.

A key member of the multidisciplinary R&D organization, the Algorithm Developer develops machine learning and deep learning algorithms for classification and regression detection in medical imaging, carrying projects from proof-of-concept through product launch. Collaborating across biology, software, and mechanical departments, the developer plans and executes experiments, interprets results, and communicates findings to internal and external stakeholders to advance diagnostic product development.

Day-to-Day Responsibilities

• Design machine learning and deep learning algorithms for classification and regression detection from proof-of-concept through product launch.
• Use data science methods to analyze imaging data and derive insights for product development.
• Plan, execute, and summarize experiments, data analysis, and results interpretation.
• Brainstorm and plan new methods and tools for ground truth generation.
• Communicate results to internal and external stakeholders.

Required Qualifications

• PhD or Master's degree in Mathematics, Computer Science, Physics, Electrical Engineering, or equivalent, with adequate candidates of proven R&D experience also considered.
• 2+ years of experience in computer vision and machine learning involving noisy data.
• Strong coding ability in Python with both research and product development orientation.
• Willingness to work across a full product development lifecycle, collaborating with multidisciplinary R&D departments including biology, software, and mechanical.
• Curious, self-learning, and self-driven with the ability to work independently with minimal supervision.

Advancing GUI perception through the full R&D cycle from problem definition to deployment, the Algorithm Developer develops data-driven algorithms and infrastructure capable of serving millions of users across structured and unstructured data sources. Based within a SaaS and cloud development environment, the developer contributes to fast-paced research in production, applying expertise in JavaScript, machine learning, and natural language processing to expand the product's algorithmic capabilities.

Scope of Work

• Develop and apply advanced algorithms for GUI perception, covering the full R&D cycle from problem definition.
• Research through design, implementation, and deployment.
• Develop infrastructure to support and deploy algorithmic solutions to millions of users.
• Analyze large amounts of structured and unstructured data to develop data-driven algorithms and models.
• Participate in fast-paced research while running in production.

Qualifications and Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or Mathematics from a leading academic institution.
• 4+ years of experience in SaaS or cloud development.
• Programming experience in JavaScript.
• Familiarity with machine learning, natural language processing, and graph and network algorithms is an advantage.
• Deep understanding of JavaScript runtime core concepts and hands-on experience with web technologies and cloud architectures are an advantage.
• Great communication, interpersonal, and problem-solving skills.

As the Algorithm Developer, this role develops and maintains an automated KPI tool in Python while identifying new requirements and adding features as part of the Engineering team. The automotive engineering team relies on this work to resolve development bottlenecks, sustain code quality through reviews, and ensure growth-ready automation pipelines for KPI and test case processes.

Work Activities

• Develop and maintain an automated KPI tool by writing code in Python.
• Identify new requirements and proactively identify.
• Add new features to the automation tool as part of the Engineering team.
• Resolve issues impacting development progress and plan for growth.
• Conduct code reviews to maintain code quality standards.

Skills and Qualifications

• Bachelor's or Master's degree in Computer Science or equivalent experience.
• 2+ years of software development experience in Python with testing knowledge.
• Experience with data processing libraries, including NumPy, Pandas, and Scipy, and automotive product development, such as KPI automation and test case automation.
• Proficiency in Windows OS with basic Linux OS experience and the ability to read and understand C++ code.
• Automotive knowledge and domain experience.

Algorithm Developer implements, debugs, and tests real-time image processing algorithms in C++ for hardware prototypes in an AR/VR environment, optimizing code performance and synthesizing algorithm designs to meet customer requirements. The work directly supports a collaborative engineering team building advanced AR/VR systems, where the developer resolves software issues across large codebases and applies expertise in OpenCV, PyTorch, TensorFlow, and 3D image manipulation to deliver reliable real-time solutions.

Engineering Responsibilities

• Implement, debug, and test real-time image processing algorithms in C++.
• Optimize the performance of C++ code to reduce runtime.
• Understand and modify existing image processing pipelines.
• Develop and apply advanced methods, theories, and research techniques of algorithms.
• Synthesize algorithm needs and designs for customer requirements.
• Identify, troubleshoot, and resolve issues found with software.

Experience and Qualifications

• Bachelor's degree in Computer Science, Mathematics, or a related field.
• 3+ years of experience with image processing and algorithm development in C++.
• Experience working in large collaborative codebases using modern tools.
• Experience with real-time computation systems, including firmware and embedded design.
• Experience with machine learning toolkits and platforms, including PyTorch and TensorFlow.
• Familiarity with image processing techniques and tools, including OpenCV, and 3D graphics and 3D image manipulation experience.
• Ability to manage projects autonomously.