For the given job description <<Who we are:Founded in 2017, Gatik is the leader in autonomous middle mile logistics. We deliver goods safely and efficiently using medium duty trucks with a focus on short-haul, B2B logistics for Fortune 500 customers such as Walmart and Loblaw. Gatik enables our customers to optimize their hub-and-spoke operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries.
About the role:We are looking for talented Staff Engineers with expertise in classical and modern computer vision techniques to lead or actively contribute to the architecture, design, implementation, and delivery of a multi-modal perception system. The ideal candidate will be a software expert who has overseen a process from the R&D phase through product shipment and has a passion for leading teams and developing real-world solutions.
This role is onsite 4 days a week at our Mountain View, CA office!
What you'll do:Design and implement key components of perception system such as object detection, object tracking, and multi-sensor fusionBuild software infrastructure to enable learning algorithms to leverage large scale imageLIDAR dataDesign and write highly optimized pipelines for data pre-processing, model training, data post-processing, inferencing etc.Train perception models, evaluate their performance, investigate and fix performance bottlenecksDevelop scalable training and evaluation tools and infrastructureCollaborate with other engineers to conduct system integration and tests
What we're looking for:Masters or Ph.D. degree in Computer Science, Electrical Engineering, Robotics or related field7+ years of related experience2+ years of professional experience working on Computer Vision using C++ and OpenCVExpert knowledge of modern C++ (C++11 or later) and PythonExperience in deploying perception algorithms into real-world environmentsFamiliar with NVIDIA software libraries such as CUDA or TensorRTExperience building testing and evaluation platformsFamiliarity with deep learning applied to computer vision problemsExperience working on Computer Vision problems in at least two of the following subjects: Feature detection & matching, Image Filtering, Object Tracking, 3D Estimation, 3D Reconstruction, SLAMProficiency in modern container technologies including Docker and KubernetesIn-depth understanding of software performance and optimizationStrong math fundamentals and a good grasp of 3D geometry and vector mathWorked with one or more neural network frameworks, such as Tensorflow or PyTorch
More about Gatik:With headquarters in Mountain View, CA and offices in Canada, Texas, Louisiana and Arkansas, Gatik is establishing new standards of success for the autonomous trucking industry every day. Visit us at Gatik for more company information and Jobs @ Gatik for more open roles.
Gatik News:The 10 most innovative companies in transportation of 2023Americas Best Startup Employers of 2023 by ForbesAmericas Best Startup Employers of 2022 by ForbesGatik been named as a 2023 FreightTech 25 winner!Gatik named a TIME Best Invention of 2022Apeksha Kumavat recognized on the Inc. 2022 Female Founders 100 ListGatiks Gautam Narang on the importance of knowing your customerGatik CEO Gautam Narang was Named Among the Most Exceptional Entrepreneurs of 2022 by Goldman Sachs
Taking care of our team:At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environments sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.
We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. 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.>> the resume: <<SummaryHighly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market.
Professional Experience05/2014toCurrentSoftware Engineer of IoT CloudBelvedere Trading–Boulder,CO,ChinaI work on the Salesforce IoT Cloud, a massively scalable event processing engine for realtime engagement and analytics.My main focus is that design and implement clusters provision and management for IoT cloud.1. Provision and manage AWS and Heroku resource, heavily involving Cloudformation, EC2, Auto-scaling and ELB, etc.2. Deploy micro-services, manage versioning, upgrading IoT platform properly, scale up and scale down micro-services when necessary. Micro-services that we support use Kafka, Storm, Spark, Cassandra, Kubernetes and so on.3. Find the best practice to store sensitive and critical information, for example, auth token, client secret.4. Customize platform when business needs dynamically, involving Jessicatabase migration, kafka migration, Cloudformation infrastructure upJessicate.We are now co-hosting workloads across 10K customers, batch transforming ~100MM rows of user Jessicata Jessicaily and real-time ingests 7 TB of events Jessicaily, ~80 MB/s sustained.02/2014to05/2014Software EngineerLocket–City,STATE,Locket is lock screen app that will display image, content based your interests. It was selected by Google as one of "Best apps of 2014".I was mainly focusing on backend development, including intelligent content generation and display.05/2013to08/2013Machine Learning Developer (Intern)British Broadcasting Corporation (BBC)–City,STATE,1. Developed a face detection and recognition program in Java, implementing machine learning algorithms,e.g., eigenfaces (PCA) and fisherfaces (LJessica);2. Applied text mining techniques to subtitles to assist the facial identification of actors in TV programs;3. Achieved up to 98% accuracy rate on stanJessicard face Jessicatabases, e.g., ORL.
EducationExpected in2013totoMaster of Science:Computational Statistics & Machine LearningUniversity College London-London,GPA:Expected inJun 2010totoBachelor of Science:Electronic Commerce ComputingUniversity of Liverpool-Liverpool,GPA:
Technical SkillsProgramming: Java, Python, JavascriptBuilding tool: Gradle, MavenOps related: Puppet, Ansible, Saltstack, Docker, Kubernetes, Jenkins, BashOthers: AWS, Hibernate, Postgres>>. The result is, 

Fit assessment: Potential Fit