Hans-Peter Loeb Email & Phone Number
@lyft.com
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Who is Hans-Peter Loeb? Overview
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Hans-Peter Loeb is listed as Engineering @ Applied Intuition at Applied Intuition, based in Palo Alto, California, United States. AeroLeads shows a work email signal at lyft.com and a matched LinkedIn profile for Hans-Peter Loeb.
Hans-Peter Loeb previously worked as Engineering at Applied Intuition and Sr. Engineering Manager - Software at Woven By Toyota. Hans-Peter Loeb holds Dipl.-Inf., Computer Science from Karlsruhe Institute Of Technology (Kit).
Email format at Applied Intuition
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AeroLeads found 1 current-domain work email signal for Hans-Peter Loeb. Compare company email patterns before reaching out.
About Hans-Peter Loeb
As a seasoned Software Engineering leader with 15+ years of experience in automotive and computer engineering, I have succeeded both in start-ups and established companies. Iโm known for building scalable and robust platforms to tackle hard problems and for my ability to produce results quickly in ambiguous environments with multiple stakeholders. As a manager, I focus on strategically aligning my team, facilitating collaboration, and maximizing my team membersโ growth, autonomy, and impact. Tech Skills: C++, C, SystemC/TLM, Python, git, JIRA, SoC, Embedded Systems, SW engineering, Virtual Prototyping, Emulation, CI/CD, ARM, IEEE 802.11 WLAN MAC + PHY layer, CAN, ProfiNET, Performance Analysis, Middleware, ML, Cloud, Generalist
Listed skills include Embedded Systems, C++, Systemc, Soc, and 39 others.
Hans-Peter Loeb's current company
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Hans-Peter Loeb work experience
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Sr. Engineering Manager - Software
Leading engineers and tech leads in subteams and across the organization. Actively growing the team by hiring, mentoring, coaching, and promotions. Establishing team vision and roadmaps. Hands-on leadership, deeply involved in technical decisions and architectural designs.๐๐๐ก๐ข๐๐ฅ๐ ๐๐จ๐๐ญ๐ฐ๐๐ซ๐ ๐๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ ๐๐๐๐ฆ, ๐๐/๐๐๐๐Building the vehicle SW platform for Toyotaโs next-gen Level 2+ ADAS product development- The teamโs scope includes sensor integration, base platform for NVIDIA Orin and Linux PC, SW updates, logging, middleware, vehicle networking, and vehicle integration.- Actively facilitating collaboration with Japan on middleware and controller integration.Enabled the acquisition of AV training data and to evaluate AD/ADAS features on public roads- Brought up QNX, the Arene middleware, and ML perception models on Qualcomm Ride 3.0 ECUs, set up testbeds for remote development, worked on camera+radar integration.- Delivered bring-up, power/thermal control, and Linux drivers for a custom 3x Xavier ECU.๐๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ & ๐๐ฅ๐จ๐ฎ๐ ๐๐๐๐ฆ, ๐๐ซ๐๐ง๐ / ๐ ๐ฎ๐ฃ๐ข ๐๐๐ฏ๐๐ง๐๐๐ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐ฆ๐๐ง๐ญEnabling Woven by Toyota to rapidly prototype and productize next-generation UX and ML/AI features and E/E architectures by leading the Platform & Cloud SW and Productization teams:- Providing technical leadership to build systems from HW to the cloud, improve developer velocity, benchmark next-gen automotive SoCs, and evaluate middleware and ML stacks.- Transferring advanced development into production with product and business teams.Expanded capabilities of Wovenโs Virtual Vehicle by adding virtual and HW test assets to the cloud.
Engineering Manager, Embedded Software
I'm leading the Embedded Software team at Lyft Level 5, Lyft's autonomous vehicle division. My team develops and deploys firmware for automotive ECUs for Vehicle Integration, Power, and Safety. Our ECUs are part of a distributed system and are tightly integrated with the main AV computer. We develop our software mainly in modern C++ and target various Cortex-R based platforms running an RTOS.
Technical Team Lead, Embedded Software
I work as the tech lead of the Embedded SW team. My responsibilities include the team's roadmap, managing of multi-team projects, task and resource allocations, as well as interfacing with customers and stakeholders. The focus of our work is currently on L5's next-generation self-driving vehicle platforms, where my team is providing ECU FW for Motion Control, the Power Subsystem, and Safety.
Embedded Software Lead, Staff Engineer
I work as a technical leader in the Embedded SW team. We develop SW (C++) for autonomous vehicles and I am currently leading projects for Vehicle Controls and Verification&Validation. In addition, I'm responsible for parts of the Embedded SW roadmap, interface with stakeholders, and provide leadership to engineers across multiple teams.
Embedded Software Lead
Developing and architecting Embedded SW (C++) and systems for Lyft's emerging self-driving car program at their Level 5 Engineering Center in Palo Alto. I have architected a number of high-impact components, such as frameworks for RTOS abstraction, CAN processing, and Matlab/Simulink integration. In addition, I successfully led a series of Level 5 wide projects relating to the Vehicle Control subsystem for our next-generation vehicle platform, bringing together the work of 15 engineers from 5 different teams.
Sr. Principal Solutions Engineer
As a solution architect I work on solutions and products for advanced virtual prototypes targetting pre-silicon verification of multicore SoCs and their embedded software. This includes hybrid hardware-accelerated virtual prototypes leveraging ARM FastModels and Cadence Palladium XP emulation technology.Specifically, I drive system-level performance analysis and improvements and architect and prototype new features in C++. My duties also include coaching SW developers and performing code reviews, and I have had the technical project lead in several high-profile customer engagements.
Principal Application Engineer
Customer-facing and solution-oriented position as an Electronic System Level (ESL) expert; developing tailored methodologies, architectures, and solutions for cutting edge many-processor System-on-Chip (SoC) virtual prototypes and products. Specifically, I worked on the architecture and development of a highly modular C++ framework for virtual prototying for one of our key customers.
Lead Application Engineer
As a System-level Modeling Expert I work on customer projects developing tailored solutions and methodologies for cutting edge SoC prototypes and products.
Systems Engineer / Doctoral Candidate (Ph.D.)
Ph.D. programme supervised by Professor Rรผckert (HNI, Paderborn) and Christian Sauer (Cadence Design Systems). My thesis was on "Application-driven Exploration of a Programmable Platform for Wireless LAN" and covers a flexible 802.11n SW-based MAC implementation, a SystemC exploration framework, and a fully functional FPGA prototype.I worked extensively on a C++-based framework for high-level performance estimation and embedded real-time SW in C and a domain-specific language as well as performance benchmarking/estimation of embedded realtime SW.
Intern, System Developer (Fpga)
Hans-Peter Loeb education
Dipl.-Inf., Computer Science
Dr.-Ing., Computer Engineering
Computer Science, Physics
Frequently asked questions about Hans-Peter Loeb
Quick answers generated from the profile data available on this page.
What company does Hans-Peter Loeb work for?
Hans-Peter Loeb works for Applied Intuition.
What is Hans-Peter Loeb's role at Applied Intuition?
Hans-Peter Loeb is listed as Engineering @ Applied Intuition at Applied Intuition.
What is Hans-Peter Loeb's email address?
AeroLeads has found 1 work email signal at @lyft.com for Hans-Peter Loeb at Applied Intuition.
Where is Hans-Peter Loeb based?
Hans-Peter Loeb is based in Palo Alto, California, United States while working with Applied Intuition.
What companies has Hans-Peter Loeb worked for?
Hans-Peter Loeb has worked for Applied Intuition, Woven By Toyota, Lyft, Cadence Design Systems, and Infineon.
How can I contact Hans-Peter Loeb?
You can use AeroLeads to view verified contact signals for Hans-Peter Loeb at Applied Intuition, including work email, phone, and LinkedIn data when available.
What schools did Hans-Peter Loeb attend?
Hans-Peter Loeb holds Dipl.-Inf., Computer Science from Karlsruhe Institute Of Technology (Kit).
What skills is Hans-Peter Loeb known for?
Hans-Peter Loeb is listed with skills including Embedded Systems, C++, Systemc, Soc, Fpga, Tlm, Asic, and Embedded Software.
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