Netradyne
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Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
POSITION SUMMARY:
We are looking for a staff full-stack engineer whose core strength is backend systems and infrastructure. You will own the platform that ingests, processes, stores, and serves large volumes of video and sensor data. The primary data sources are edge/IoT devices operating in the field. You need to understand how to design systems that work reliably under those conditions.
You care about reliability, scalability, and cost efficiency, and you are comfortable making architectural decisions early when requirements are still evolving. Privacy and security engineering is a first-class concern for this product, and you will own that infrastructure. If you have ML engineering experience, there are opportunities to apply it — but it is not required.
This is a small, early-stage team. You will design systems from scratch, make foundational architecture choices, and own entire subsystems end-to-end
ESSENTIAL FUNCTIONS:
- Device-to-cloud data platform: the systems that receive data from edge devices in the field, process it, store it efficiently, and make it queryable. This includes handling store-and-forward uploads, media pipelines, metadata indexing, tiered storage, and APIs that serve rich content to frontend experiences.
- Privacy and security infrastructure: access control, audit logging, configurable data retention and recording policies, consent management. Privacy is a day-one architectural requirement, not a feature bolted on later.
- Cloud infrastructure and DevOps: provisioning, CI/CD, monitoring, alerting, cost management. You own the operational health of the platform.
- API design and backend services: data modeling, auth, multi-tenancy, and integration points for enterprise systems.
QUALIFICATIONS:
- 7+ years of software engineering experience, with depth in backend systems, data infrastructure, or media platforms.
- Experience building systems that handle large-scale data: ingestion pipelines, transcoding, storage, indexing, or streaming.
- Experience with IoT or edge device data — store-and-forward, intermittent connectivity, device fleet management — is a strong differentiator.
- Strong infrastructure skills: AWS (S3, Lambda, EC2, SQS, DynamoDB), CI/CD, monitoring, cost optimization.
- Experience with data modeling, search and indexing, and building APIs that serve rich content.
- Privacy and security engineering experience is a strong plus: access control, audit logging, policy enforcement, compliance.
- Willingness to work across the stack wherever the team needs you. This is a small team — you will wear multiple hats.
- ML engineering experience (on-device inference, model quantization) is a bonus but not required.
EDUCATION:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
Compensation Package_Perks of being a Netradyne employee:
- Salary + eligibility for yearly bonus
- Company equity
- Company Paid Health Care, Dental, and Vision Coverage for you and most of your dependents
- Generous PTO and Sick Leave
- 401(K) with generous company match
- Disability, Life Insurance and Ancillary Benefits
- And much more!
We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
Netradyne is an equal-opportunity employer.
Applicants only - Recruiting agencies do not contact.
Recruitment Fraud Alert!
There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.
Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.
Ready to apply?
Apply to Netradyne
Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
About Netradyne:
Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.
Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore. For more details visit: www.netradyne.com
Job Overview:
As a Staff Data Engineer – ML at Netradyne, an award-winning industry leader in fleet safety and video telematics solutions, you will take senior technical ownership of the machine learning and data platforms that underpin our AI-powered fleet analytics. This role is responsible for designing, building, and scaling production-grade ML pipelines, generative AI capabilities, and real-time data streaming systems across cloud and edge environments, delivering actionable insights that make fleet operations safer and more efficient. You will collaborate closely with machine learning engineers, data scientists, and product teams to integrate advanced AI technologies into Netradyne's platform, including on-device edge intelligence and natural-language-driven capabilities. Your work will directly shape the data infrastructure behind Netradyne's Physical AI vision, where AI continuously interprets multimodal vehicle data to understand drivers, vehicles, and road environments as an integrated system.
Key Responsibilities:
- You will be embedded within a team of machine learning engineers and data scientists, responsible for building and productising generative AI, deep learning, and data engineering solutions. You will:
- Design, develop and deploy production-ready, scalable solutions that utilise generative AI, traditional ML models, data science workflows, and ETL/ELT pipelines on AWS cloud infrastructure (and hybrid edge-cloud environments).
- Build and manage real-time and batch data streaming pipelines to handle high-volume, high-velocity data from fleet devices, leveraging technologies such as Apache Kafka and Amazon Kinesis for low-latency processing and near real-time insights.
- Collaborate with cross-functional teams (Product, Data Science, ML Engineering, Operations) to integrate AI-driven solutions into business operations and customer-facing products.
- Design and implement generative AI solutions using large language models (LLMs), including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) patterns, to enable intelligent analytics, natural-language interfaces, and context-aware insights across fleet and safety data.
- Build and scale agentic AI systems by developing autonomous and semi-autonomous agents that orchestrate data retrieval, reasoning, and actions across ML pipelines and services, ensuring these agentic workflows are production-grade, observable, and aligned with safety, reliability, and governance requirements.
- Implement MLOps best practices including CI/CD pipelines for model training, automated testing, model versioning, continuous monitoring, and modern workflow orchestration (e.g. Apache Airflow, MLFlow) to achieve reliable, reproducible model deployments at scale.
- Champion data quality and governance by implementing data contracts, rigorous validation, and monitoring to ensure that analytical pipelines meet defined SLAs and that downstream models and business users can trust the data.
- Conduct research and stay current with the latest advancements in generative AI, vector search techniques, LLM frameworks, orchestration platforms, and related technologies.
Mandatory Skills:
- Experience with data visualisation and BI tools (e.g. Tableau, Grafana, Plotly Dash).
- Exposure to real-time data streaming and messaging systems (e.g. Apache Kafka, Amazon Kinesis, Amazon SQS).
- Knowledge of containerisation and orchestration (e.g. Docker, Kubernetes/EKS)
- Strong understanding of generative AI system design, including prompt engineering, RAG architectures, vector search, and evaluation techniques for LLM-based applications in production environments.
- Experience with agentic AI patterns, such as designing, orchestrating, and monitoring autonomous or semi-autonomous agents that coordinate tools, data sources, and ML services with appropriate safety, observability, and governance controls.
- Experience with modern workflow orchestration platforms such as Apache Airflow, Prefect, or Dagster for scheduling and managing complex ETL/ML pipelines. These tools are now standard for data pipeline engineering.
- Proficiency with at least one Python web framework (e.g. FastAPI, Django, Flask) for developing data or model-serving APIs.
- Experience with rapid prototyping tools (e.g. Streamlit, Gradio, Dash) for demonstrating ML solutions to stakeholders.
- Familiarity with modern ML frameworks and libraries such as PyTorch, TensorFlow, and Hugging Face Transformers
- Background in large-scale data processing and lakehouse or data warehousing technologies (e.g. Snowflake, Amazon Redshift, Apache Spark/EMR, Delta Lake).
Qualifications and Education Requirements:
- B.Tech, M.Tech or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, Mathematics, Operations Research, or a related field (or equivalent professional experience).
- 5–8 years of industry experience in data engineering, machine learning engineering, or related roles, with a track record of building and scaling data/ML solutions in production.
- Strong programming skills in Python and SQL, with solid fundamentals in algorithms, data structures, and object-oriented programming.
- Experience building end-to-end solutions on AWS cloud infrastructure including developing data pipelines (ETL/ELT), deploying ML models at scale, and utilising cloud services (e.g. S3, Lambda, EKS).
- In-depth understanding of data storage systems: proficient with relational databases (SQL), NoSQL datastores, and modern vector databases, including schema design and query optimisation for large-scale datasets.
- Hands-on experience with generative AI tools and workflows, and practical work with large language models (LLMs), including building LLM-powered applications and utilising RAG techniques to incorporate external knowledge.
- Working knowledge of MLOps principles and tools — e.g. model lifecycle management, CI/CD pipelines for ML, automated data/feature pipelines, and monitoring/alerting for deployed models.
- Strong analytical and problem-solving skills with keen attention to detail.
- Solid foundation in statistics, probability, and estimation theory.
Equal Opportunity Employer Statement:
Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.
We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
Netradyne is an equal-opportunity employer.
Applicants only - Recruiting agencies do not contact.
Recruitment Fraud Alert!
There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.
Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.
Ready to apply?
Apply to Netradyne
Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
Job Overview:
Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc. As a Senior Staff Research Engineer at Netradyne, you will lead the development of cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities/injuries. You will collaborate with cross-functional teams to build and deploy scalable and reliable AI solutions in a fast-paced environment.
Key Responsibilities:
You will help design, implement and commercialize driver monitoring and driver assistance algorithms. You will have access to very large datasets and will get to deploy new algorithms/models into thousands of vehicles. As a machine learning research engineer, you may
- Design and commercialize algorithms characterizing driving behavior.
- Design, implement and track key metrics; and architect data-driven solutions.
- Improve machine learning infrastructure for scalable training and inference.
- Innovate and develop proof of concept solutions showcasing novel capabilities.
Mandatory Skills:
- B Tech, M. Tech or PhD in computer science, electrical engineering or a related area.
- Excellent programming skills – Python (required) and C++ (desired).
- 7+ yrs with Research or industry experience within computer vision and machine learning models.
- Ability to take abstract product concepts and turn them into reality.
- Ability to innovate on cutting-edge problems without documented solutions.
- Hands-on experience in handling edge deployments targeting various HW platforms.
Preferred Skills:
- Experience with image, video and time-series data
- Experience with Camera calibration, multi-view geometry, 3D reconstruction, SLAM
- Experience with SOTA multi-camera BEV and Occupancy prediction algorithms.
- Experience with road scene understanding (objects, lanes, intersections, signs etc.)
- Experience with successfully applying machine learning to solve a real-world problem.
- Experience with conducting successful statistical experiments.
- Experience with radar perception or radar-camera fusion.
We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
Netradyne is an equal-opportunity employer.
Applicants only - Recruiting agencies do not contact.
Recruitment Fraud Alert!
There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.
Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.
Ready to apply?
Apply to Netradyne
Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
Job Responsibilities
As a Staff Software ML Engineer in System Optimization, you will implement, and evolve processes to ensure the efficient and high-performance operation of our in-house designed and developed driver monitoring and assistance technology. Your responsibilities will include:
- Crafting and developing tools, frameworks, and reporting mechanisms for system optimization.
- Streamlining software for deployment across IoT devices, implementing GPU/CPU/DSPs.
- Enhancing data platforms and optimizing machine learning models deployed on the platform.
- Improving driver monitoring and driver assistance algorithms to boost system efficiency and report key performance indicators (KPIs).
- Managing production inquiries and ensuring overall application stability in production environments.
- Effectively conveying highly technical results to diverse audiences.
Required Qualifications:
- Hold a B.E/B.Tech or M.E/M.Tech degree with a minimum of 6+ years of experience in software system optimization.
- Exhibit exceptional attention to detail, strong analytical skills, and a creative mindset dedicated to achieving optimal system performance.
- Demonstrate proficiency in programming languages such as C/C++, OpenGL, CUDA, and Python.
- Possess a solid grasp of basic statistics, probability, and concepts in machine learning (ML) and computer vision (CV).
- Have experience with ML frameworks, including Caffe, TensorRT, OpenCL, SNPE, OpenVino, and ONNX.
- Bring experience in embedded platforms, make files, build systems, and familiarity with Jenkins, which is a valuable asset.
We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
Netradyne is an equal-opportunity employer.
Applicants only - Recruiting agencies do not contact.
Recruitment Fraud Alert!
There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.
Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.
Ready to apply?
Apply to Netradyne
Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
About Netradyne:
Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.
Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.
For more details visit: www.netradyne.com
Job Overview:
Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc. As a Staff Research Engineer at Netradyne, you will lead the development of cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities/injuries. You will collaborate with cross-functional teams to build and deploy scalable and reliable AI solutions in a fast-paced environment.
Key Responsibilities:
You will help design, implement and commercialize driver monitoring and driver assistance algorithms. You will have access to very large datasets and will get to deploy new algorithms/models into thousands of vehicles. As a machine learning research engineer, you may
- Design and commercialize algorithms characterizing driving behavior.
- Design, implement and track key metrics; and architect data-driven solutions.
- Improve machine learning infrastructure for scalable training and inference.
- Innovate and develop proof of concept solutions showcasing novel capabilities.
Mandatory Skills:
- B Tech, M. Tech or PhD in computer science, electrical engineering or a related area.
- In-depth understanding of Machine learning (Deep learning & Classic ML) and computer vision concepts
- Excellent programming skills – Python (required) and C++ (desired).
- 6.5+ yrs with Research or industry experience within computer vision and machine learning models.
- Ability to take abstract product concepts and turn them into reality.
- Ability to innovate on cutting-edge problems without documented solutions.
- Hands-on experience in handling edge deployments targeting various HW platforms.
Preferred Skills:
- Experience with time-series data
- Experience with Camera calibration, multi-view geometry, 3D reconstruction, SLAM.
- Experience with road scene understanding (objects, lanes, intersections, signs etc.)
- Experience with successfully applying machine learning to solve a real-world problem.
- Experience with conducting successful statistical experiments.
We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
Netradyne is an equal-opportunity employer.
Applicants only - Recruiting agencies do not contact.
Recruitment Fraud Alert!
There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.
Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.
Ready to apply?
Apply to Netradyne
Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
About Netradyne:
Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.
Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.
For more details visit: www.netradyne.com
Job Overview:
Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc. As a Senior Staff Research Engineer at Netradyne, you will lead the development of cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities/injuries. You will collaborate with cross-functional teams to build and deploy scalable and reliable AI solutions in a fast-paced environment.
Key Responsibilities:
You will help design, implement and commercialize driver monitoring and driver assistance algorithms. You will have access to very large datasets and will get to deploy new algorithms/models into thousands of vehicles. As a machine learning research engineer, you may
- Design and commercialize algorithms characterizing driving behavior.
- Design, implement and track key metrics; and architect data-driven solutions.
- Improve machine learning infrastructure for scalable training and inference.
- Innovate and develop proof of concept solutions showcasing novel capabilities.
Mandatory Skills:
- B Tech, M. Tech or PhD in computer science, electrical engineering or a related area.
- In-depth understanding of Machine learning (Deep learning & Classic ML) and computer vision concepts
- Excellent programming skills – Python (required) and C++ (desired).
- 9+ yrs with Research or industry experience within computer vision and machine learning models.
- Ability to take abstract product concepts and turn them into reality.
- Ability to innovate on cutting-edge problems without documented solutions.
- Hands-on experience in handling edge deployments targeting various HW platforms.
Preferred Skills:
- Experience with time-series data
- Experience with Camera calibration, multi-view geometry, 3D reconstruction, SLAM.
- Experience with road scene understanding (objects, lanes, intersections, signs etc.)
- Experience with successfully applying machine learning to solve a real-world problem.
- Experience with conducting successful statistical experiments.
We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
Netradyne is an equal-opportunity employer.
Applicants only - Recruiting agencies do not contact.
Recruitment Fraud Alert!
There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.
Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.
Ready to apply?
Apply to Netradyne
Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
Job Overview:
Our team is responsible for ensuring that AI systems deployed at scale are measurable, trustworthy, and decision‑ready. We build rigorous evaluation frameworks, analytics platforms, and KPI audits that directly influence product direction and real‑world safety outcomes. This role is primarily evaluation and analytics driven. As a Staff Data Scientist will own the definition, execution, and evolution of evaluation frameworks, metrics, and analytical methodologies used to assess AI/ML feature performance in real‑world deployments. Rather than focusing on core model development, this role emphasizes measurement rigor, error analysis, experimentation, and decision support—ensuring that metrics accurately reflect system behavior, business impact, and safety outcomes.
Key Responsibilities:
Evaluation & Measurement Ownership
- Design, implement, and maintain offline and online evaluation frameworks for AI/ML features.
- Define, validate, and evolve KPIs, success metrics, and audit methodologies used across teams.
- Perform deep error analysis, bias analysis, and segmentation to identify failure modes and improvement opportunities.
- Own golden datasets, validation protocols, and benchmarking standards.
Analytics & Insight Generation
- Conduct large‑scale analytical studies to understand feature performance, data quality issues, and system behavior.
- Translate complex analytical findings into clear, actionable insights for engineering, product, and leadership stakeholders.
- Challenge existing metrics or evaluation approaches when they fail to capture ground reality.
Experimentation & Statistical Rigor
- Design and review experiments including offline evaluations, controlled rollouts, and A/B tests.
- Ensure statistical correctness in analysis, including bias, variance, confidence intervals, and significance.
- Perform post‑deployment monitoring and regression detection.
Tooling, Automation & Scale
- Build and maintain tools, dashboards, and automation frameworks to scale audits, evaluations, and reporting.
- Improve repeatability, reproducibility, and reliability of analytics pipelines.
- Enable self‑serve analytics and standardized reporting for broader teams.
Leadership & Ownership
- Independently identify gaps in evaluation, metrics, or data quality and drive solutions end‑to‑
- Mentor junior data scientists on statistical rigor, experiment design, and analytical storytelling.
Mandatory Skills:
- Tech, M.Tech, or PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field.
- 5+ years of experience in data science, analytics, or a closely related domain.
- Strong foundation in probability, statistics, and estimation theory.
- Strong analytical and problem‑solving skills with keen attention to detail.
- Strong programming skills in Python, with solid fundamentals in OOP, algorithms, and data structures.
- Deep familiarity with SQL, complex query writing, indexing, and database internals; working knowledge of at least one NoSQL data store.
- Experience with data visualization and analytical storytelling.
- Excellent written and verbal communication skills.
- Familiarity with AI‑powered tools for analytics and software development, including:
- Using AI tools for exploratory data analysis, feature ideation, experiment analysis, and documentation.
- Leveraging AI assistance for rapid prototyping, code refactoring, debugging, and analytical workflows.
- Ability to critically evaluate AI‑generated outputs for correctness, statistical validity, reproducibility, and production readiness.
Preferred Skills:
- Exposure to cloud platforms and services (e.g., AWS Kinesis, EKS, autoscaling systems).
- Experience building lightweight web or service components using Python frameworks (e.g., Flask, Django).
- Prior experience working with large‑scale, noisy, real‑world datasets
We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
Netradyne is an equal-opportunity employer.
Applicants only - Recruiting agencies do not contact.
Recruitment Fraud Alert!
There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.
Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.
Ready to apply?
Apply to Netradyne
Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
POSITION SUMMARY:
We are looking for a staff full-stack engineer whose core strength is building customer-facing products. You will own the experiences that managers, drivers, and operations teams interact with every day — whether that’s a web application, a mobile interface, or workflows that integrate into tools they already use.
You have strong frontend instincts and good design taste. You know how to take ambiguous customer problems, ship something quickly, watch how people actually use it, and iterate. You are also comfortable building the backend services and APIs that power those experiences. Mobile development experience is a plus but not required.
This is a small, early-stage team. You will move between frontend and backend as priorities shift, shape product direction through what you build and learn, and work directly with customers from day one.
ESSENTIAL FUNCTIONS:
- Customer-facing product surfaces for managers and workers — from initial prototypes through production-quality experiences. The form factor will evolve; your job is to make the product useful and intuitive regardless of where it lives.
- Backend services and APIs: data modeling, auth, role-based access control, multi-tenancy, and integration points for enterprise platforms.
- Frontend architecture: building performant, data-rich interfaces that handle media, real-time data, and complex workflows.
- Rapid iteration with real customers: shipping quickly, instrumenting usage, and using feedback to drive what gets built next.
QUALIFICATIONS:
- 7+ years of software engineering experience, with depth in frontend and full-stack product development.
- Strong product instincts and good design taste. You can make thoughtful UX tradeoffs without waiting for a designer, and you iterate based on what you learn from real users.
- Experience building data-dense, media-rich interfaces — video, maps, timelines, complex workflows.
- Comfortable with backend development: API design, data modeling, auth, multi-tenancy.
- Experience with cloud infrastructure (AWS preferred): S3, Lambda/ECS, RDS or DynamoDB.
- Willingness to work across the stack wherever the team needs you. This is a small team — you will wear multiple hats.
- Mobile development experience (Android) is a strong plus.
EDUCATION:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
Compensation Package_Perks of being a Netradyne employee:
- Salary + eligibility for yearly bonus
- Company equity
- Company Paid Health Care, Dental, and Vision Coverage for you and most of your dependents
- Generous PTO and Sick Leave
- 401(K) with generous company match
- Disability, Life Insurance and Ancillary Benefits
- And much more!
We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
Netradyne is an equal-opportunity employer.
Applicants only - Recruiting agencies do not contact.
Recruitment Fraud Alert!
There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.
Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.
Ready to apply?
Apply to Netradyne
Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
We are looking for a highly experienced Senior Technical Program Manager to lead strategic and technical initiatives across our AI/ML product portfolio. This role will drive product development, customer success, and internal program execution in a fast-paced, innovation-driven environment. You will serve as the bridge between business needs and engineering execution, ensuring alignment, scalability, and impact.
Key Responsibilities
Program & Product Leadership
- Drive end-to-end execution of strategic programs including new product development, enhancements, and customer deliverables.
- Lead cross-functional planning and delivery across engineering, analytics, data science, product, and operations teams.
- Translate business requirements into technically feasible solutions and actionable roadmaps.
- Manage program schedules, accounting for the iterative nature of AI/ML development lifecycles and aggressive time-to-market goals.
- Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients.
Customer & Stakeholder Engagement
- Serve as the primary point of contact for key customer accounts, ensuring successful delivery and satisfaction.
- Respond to technical questionnaires and RFPs for large prospects, aligning solutions with customer needs.
- Communicate extensively with internal and external stakeholders across geographies and functions.
- Build strong relationships to foster collaboration and translate business goals into technical capabilities.
- Provide proactive updates to senior leadership on program health, risks, milestones, and strategic alignment.
Technical Program Management
- Collaborate on solution architecture and ensure technical feasibility of proposed solutions.
- Develop deep expertise in the company’s AI/ML product architecture and act as SME for published and upcoming features.
- Oversee data annotation workflows including quality, productivity, and logistics.
- Apply statistical and ML expertise to map ambiguous requirements to measurable outcomes and key metrics.
- Be able to drive client value. Collaborate with a diverse group of client stakeholders to align project vision, Develop and refine the vision for a next-generation analytics/data engineering/AI/GenAI/Agentic AI products and platforms
- Facilitate strategic decision-making and problem-solving, balancing technical constraints with business needs.
- Contribute to defining the long-term analytics and AI/ML roadmap, identifying opportunities for automation, standardization, and reusability across programs.
Operational Excellence
- Define and track KPIs to measure program success, drive accountability, and foster continuous improvement.
- Track Agile/Scrum metrics such as velocity, sprint burndown, cycle time, and team capacity to monitor delivery health and identify areas for improvement.
- Optimize resource allocation across teams to ensure timely delivery and scalability of AI/ML solutions.
- Champion a culture of innovation, agility, and operational excellence by identifying and implementing process improvements.
- Navigate ambiguity and lead change management efforts to adapt programs to evolving priorities and market conditions.
- Manage scope, change requests, and delivery timelines across distributed teams and partners.
- Deliver executive-level reporting and governance artifacts that highlight program impact and strategic alignment
Essential Skills & Experience
- 12+ years of overall experience in program management, with at least 7+ years in SaaS or AI/ML environments.
- Proven track record in delivering enterprise-scale software and data platforms.
- Strong understanding of AI/ML technologies, scalable architectures, APIs, webhooks, and public cloud infrastructure.
- Experience with Edge computing, ETL pipelines, and data analytics.
- Expertise in Agile, Scrum, SAFe, and hybrid methodologies.
- Deep understanding of Scrum fundamentals including sprint planning, backlog grooming, daily stand-ups, sprint reviews, and retrospectives.
- Skilled in tracking and interpreting Agile metrics such as velocity, burndown charts, and cycle time to drive team performance.
- Ability to coach and mentor teams on Agile best practices and foster a culture of continuous improvement.
- Ability to lead complex programs independently under tight deadlines.
- Strong interpersonal and influencing skills to build trust across teams and leadership.
- Exceptional verbal and written communication skills.
- Experience managing globally distributed teams and virtual collaboration.
- Solid understanding of SDLC, product security, and cloud architecture.
- Ability to coach teams on best practices and agile processes.
- Solid understanding of the end-to-end ML lifecycle, including data readiness, experimentation, model development, evaluation, deployment, and monitoring.
- Strong analytical thinking with the ability to challenge assumptions, quantify trade-offs, and drive data-informed decisions.
- Experience scaling ML or analytics solutions from prototype to production, with emphasis on reliability, observability, and continuous improvement.
Qualifications
- BTech/MTech in Computer Science or related field.
- PMP, CSM, SAFe, AWS certifications are a big plus.
We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
Netradyne is an equal-opportunity employer.
Applicants only - Recruiting agencies do not contact.
Recruitment Fraud Alert!
There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.
Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.
Ready to apply?
Apply to Netradyne