Full-Time
Posted on 8/18/2026
Software-defined vehicles hardware and software solutions
No salary listed
Lichfield, UK
Hybrid
Three days in the office per week required.
UK Top Secret Clearance Required
Bachelor's
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Aumovio is a global technology and electronics company focused on software-defined vehicles and mobility solutions, spun off from Continental in 2025 and based in Frankfurt. It provides hardware and software across Autonomous Mobility, Safety and Motion, User Experience, and Architecture and Network Solutions, including sensors, displays, braking and comfort systems, software platforms, and driver-assistance systems. It differentiates itself by leveraging Continental’s automotive heritage with a lean, agile structure and offering end-to-end, software-enabled automotive electronics and systems such as Green Electric Caliper, Xelve for automated driving, and Road to Cloud for SDVs, serving most leading automakers worldwide. Its goal is to grow long-term sales beyond €24 billion and reach an adjusted EBIT margin of 6.0–8.0%.
Company Size
501-1,000
Company Stage
IPO
Headquarters
Frankfurt, Germany
Founded
2025
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Paid Vacation
Employee Discounts
401(k) Company Match
Employee Assistance Program
Performance Bonus
[Gasgoo Flash News] Honda plans to outsource new model platform development to India's Tata Technologies; AITO M8 cumulative deliveries exceed 180,000. Edited by Betty From Gasgoo | August 7, 2026 19:16 BJT Automaker Trends | OEM Trend * Gasgoo: Cumulative sales of the BMW 3 Series in China have officially topped 2 million units, according to an August 6 announcement on the company's WeChat account. That milestone places the sedan among an elite group of luxury nameplates to reach such volume in a single market. * IT Home: Harmony Intelligent Mobility Alliance announced on August 6 that cumulative deliveries of the AITO M8 "Family Smart Flagship SUV" have surpassed 180,000 units. Meanwhile, the model's product manager revealed that a major upgrade to the Huawei HarmonySpace is on the way. * Jiemian News: Honda has outsourced development of a new vehicle program to Indian engineering giant Tata Technologies, according to an August 6 report. It marks the first time the automaker has entrusted an Indian firm with end-to-end platform construction - a move aimed at slashing R&D costs. The platform is designed to underpin multiple models, supporting everything from traditional internal combustion engines to hybrid and fully electric powertrains. * CLSA: Elon Musk says investors shouldn't worry about demand for memory chips - one of the biggest bottlenecks in the current AI boom. Demand is growing far faster than supply, he noted. The Tesla and SpaceX chief is well-positioned to judge the market, as both companies are major purchasers of memory chips. * Fast Tech: A court in Nanning's Qingxiu District has put a full set of 438 production items - comprising 467 pieces of equipment - from Neta Auto's local plant up for auction. Valued at roughly 60.3 million yuan, the lot failed to sell in its first round after receiving no bids. The equipment is now listed for a second auction with the starting price slashed by more than 20% to 48.25 million yuan. Bidding opens on August 12, yet despite nearly 1,000 page views and dozens of reminders, no qualified bidders have registered. The auction stems from a debt dispute exceeding 45 million yuan. Hozon New Energy, Neta's parent, formally entered bankruptcy reorganization in June 2025, pushing its Nanning base into asset liquidation. * IT Home: Maserati's chief engineer, Davide Danesin, says V8 engines and true manual transmissions could make a comeback - though only in limited-run sports cars. Parent company Stellantis has not yet signed off on the plan. Maserati had previously positioned its twin-turbo "Nettuno" V6 as the final pillar of its internal combustion era before a full pivot to electric vehicles. Supplier News | Supply Chain News * Gasgoo: AUMOVIO, a German supplier with three decades in China, has officially launched a second production line for its sixth-generation millimeter-wave radar in Jiading Industrial Park. The line was built in just six months, representing a deep localization of line design, equipment manufacturing, and the supply chain. * Fast Tech: Nvidia CEO Jensen Huang has unveiled Alpamayo 2 Super, an open inference model designed specifically for autonomous vehicles. Built on the NVIDIA Cosmos world foundation model, it is the company's most powerful open model to date, with roughly 34 billion parameters - tripling the scale of Alpamayo 1.5 and Alpamayo 1. * Gasgoo: Wuhan Yuanfeng Automotive Parts, a subsidiary of West Shanghai, has signed a deal to establish an R&D and manufacturing base in the Wuhan Economic Development Zone. The move marks a follow-up investment by West Shanghai in the region. The project, with a total investment of around 156 million yuan, will focus on brake-by-wire products, including electronic parking hydraulic disc brakes (EPB). * Gasgoo: Xunbo Tech has announced that ADC dampers for the BAIC N60 project have officially entered mass production (SOP). The transition from development to volume production secures a critical supply of chassis components for BAIC's upcoming models. Industrial Focus | Industrial Economy * CLSA: Smart driving stocks rallied in afternoon trading on August 6. Dazhong Transportation hit the daily limit, while Jinjiang Online, Zhejiang Shibao, and Soling shares followed suit. * CLSA: Yole Group forecasts that production of all electric vehicle types (xEV) will see double-digit compound annual growth between 2025 and 2031. By the end of that period, xEVs are expected to account for roughly 70% of total light vehicle output, with battery electric vehicles (BEV) alone reaching 33 million units. This electrification surge is driving up demand for power chips, a sector projected to hit $14.5 billion by 2031 - a 14% CAGR that would more than double its 2025 size. Policy Updates | Policy Situation * Jiemian News: Australian Climate Change and Energy Minister Chris Bowen confirmed on August 6 that the government will move forward with a road user charge for electric vehicles. The policy aims to ensure EV owners contribute proportionately to road maintenance costs. Bowen noted the industry's lack of objection, with the Electric Vehicle Council backing a national scheme. Details on collection are still under discussion, and the measure has not yet been included in the budget. The shift is driven by shrinking fuel excise revenue - which falls by about 200 million Australian dollars annually - widening the funding gap for road upkeep. Personnel Moves | Change of personal * 21st Century Business Herald: Chen Yonghai, former vice president of product at XPeng, has joined robotics firm ENGINEAI as chief operating officer, according to multiple independent sources. He will report to Chairman and CEO Zhao Tongyang. Chen previously led product operations at Amap before joining XPeng in 2022 to oversee its product center. Gasgoo not only offers timely news and profound insight about China auto industry, but also help with business connection and expansion for suppliers and purchasers via multiple channels and methods. Buyer service: [email protected] Seller Service: [email protected]
AUMOVIO first-half sales 8.6 billion euros, cuts full-year outlook. Edited by Betty From Gasgoo | August 7, 2026 18:45 BJT Gasgoo Munich- AUMOVIO Group released its first-half 2026 financial results on August 6. Despite a persistently challenging market environment, the supplier made steady operational progress and confirmed its full-year outlook. Image Source: AUMOVIO On July 30, the company announced an agreement with BMW to resolve a long-running legal dispute, clearing the way for future collaboration on new projects. Accounting related to that settlement weighed on first-half performance, with payments scheduled for the second half. Adjusted sales for the first half of 2026 reached 8.6 billion euros, down 8.9% year-on-year, while adjusted EBIT stood at 157 million euros for a 1.8% margin. In the second quarter, adjusted sales hit 4.2 billion euros with an adjusted EBIT of 50 million euros, yielding a 1.2% margin. However, AUMOVIO noted that stripping out specific accounting impacts, second-quarter adjusted sales would have been 4.3 billion euros and adjusted EBIT 152 million euros - a 3.5% margin that matches the same period in 2025. Breaking down by business group, the Autonomous & Mobility division generated 1.4 billion euros in sales, slipping 12.7% due to weaker U.S. volumes and currency fluctuations. Architecture & Connectivity sales fell 6.1% to 2.4 billion euros, yet adjusted EBIT climbed 40 million euros to 142 million euros. Safety & Dynamic Control reported sales of 3.4 billion euros - a 9.6% drop - with adjusted EBIT falling 127 million euros year-on-year to 29 million euros. Meanwhile, User Experience sales declined 6.3% to 1.4 billion euros, while adjusted EBIT rose to 14 million euros. On the balance sheet, AUMOVIO held an equity ratio of 52.9% at the end of the first half, backed by 1.2 billion euros in net liquidity and a 2.5 billion euro revolving credit facility. Standardized free cash flow improved by 29 million euros year-over-year, reaching 113 million euros. Separately, AUMOVIO outlined its capital allocation strategy, prioritizing a robust balance sheet, investment in profitable organic growth, a reliable dividend policy, and the return of excess free cash flow through share buybacks. Citing first-half performance, the BMW settlement, and current market conditions, AUMOVIO updated its 2026 full-year outlook. The company now projects adjusted sales of 17 billion to 17.5 billion euros, down from a previous range of 17 billion to 18.5 billion euros. The adjusted EBIT margin forecast was trimmed to 3.0% to 4.0% from 3.5% to 5.0%, while standardized free cash flow is expected to land between 500 million and 700 million euros, revised from 500 million to 800 million euros. AUMOVIO cited declining global vehicle production forecasts, geopolitical tensions, and trade policy uncertainty as factors keeping the market environment under pressure. Gasgoo not only offers timely news and profound insight about China auto industry, but also help with business connection and expansion for suppliers and purchasers via multiple channels and methods. Buyer service: [email protected] Seller Service: [email protected]
AUMOVIO, BMW Group settle brake dispute and ink EUR 1 billion supply agreement. German tier 1 supplier AUMOVIO and the BMW Group have executed a long-term supply and development agreement valued at over EUR 1 billion, while simultaneously settling all pending legal proceedings concerning a past brake system warranty case. Under the terms of the settlement, AUMOVIO Germany, a subsidiary of AUMOVIO SE, formerly Continental's Automotive Group sector, will pay BMW EUR 350 million. The settlement amount will be disbursed in two instalments across the third and fourth quarters of 2026. Prior to the agreement, AUMOVIO had recognised a risk provision of EUR 54 million for the matter. The financial settlement resolves all outstanding claims between BMW, Continental and AUMOVIO. Alongside the legal resolution, the companies have expanded their technology partnership through new supply contracts for brake systems and electronic controls for future vehicle architectures. The agreement extends series deliveries of AUMOVIO's MK C2 integrated brake system to BMW through the mid-2030s. The MK C2 unit combines the master cylinder, brake booster, anti-lock braking and electronic stability control into a single module designed to support regenerative braking, pressure build-up for automated driving and vehicle weight reduction. Philipp von Hirschheydt, CEO, AUMOVIO, said, "The agreement with the BMW Group is an important step for us to strengthen our business relationship. It demonstrates confidence in our innovative brake technology and at the same time motivates us to further advance the partnership between our companies and jointly shape the future of mobility." The contract portfolio also covers the supply of brake calipers and electronic control units. The expanded commitments establish supply chain continuity for BMW's upcoming vehicle platforms while securing long-term production volumes for AUMOVIO.
Aumovio settles brake dispute with BMW and pays 350 million. With a settlement amount, Aumovio ends the legal dispute with BMW. In the future, the two companies are to work more closely together. 30.07.2026 - 19:47 Aumovio and BMW have agreed to expand their technology partnership and collaborate long-term. Photo: picture alliance/dpa The auto supplier Aumovio is settling a legal dispute with BMW by paying a three-digit million amount. Aumovio is paying a settlement amount of 350 million euros to BMW, the company announced on Thursday. 56 million euros had been set aside for this. Aumovio and BMW have agreed to expand their technology partnership and collaborate long-term. According to the information, the dispute, in which the former Aumovio parent company Continental was also involved, concerned a warranty case related to an integrated braking system. The settlement will burden the second quarter results, according to Aumovio. Quarterly revenue is now put at 4.244 billion euros, and adjusted EBIT at 50 million euros. Without the effects of the settlement, adjusted revenue would have been 4.307 billion euros and adjusted EBIT 152 million euros.
AUMOVIO's multi-agent AI reduces automotive software integration costs. AUMOVIO's new AI-driven Problem Finder transforms historical problem data into structured templates, enabling early detection of integration issues in automotive software. This revolutionary approach promises to significantly reduce costs and improve software quality in vehicle development. Key facts. * AUMOVIO's problem finder detected 30+ high-priority issues, reducing late-stage integration costs. * Templates evolve through expert feedback, enhancing detection accuracy and minimizing false positives. * Multi-agent AI on Amazon Bedrock streamlines code analysis, improving development efficiency significantly. * Delta analysis enables rapid issue detection in CI, supporting agile development and faster releases. * Early problem detection shifts quality assurance upstream, lowering overall software development expenses. Summary. AUMOVIO, a company in the automotive software industry, faced challenges in identifying costly software issues that only surfaced during hardware integration. To address this, they developed a multi-agent AI system called the problem finder on Amazon Bedrock, which systematically detects semantic inconsistencies in code. This solution led to the identification of over 30 high-priority findings in a single scan, significantly improving software quality and reducing integration costs. Background. AUMOVIO operates within the automotive software sector, focusing on the development of embedded code for vehicles. Prior to the deployment of the problem finder, AUMOVIO relied on traditional tools like compilers and static analyzers, which were limited in their ability to catch issues that arose during the integration of various Electronic Control Units (ECUs). This often resulted in expensive problems surfacing late in the development cycle, particularly during the integration testing phase on physical test vehicles. Challenge. The primary challenge was the inability of traditional validation tools to detect semantic inconsistencies in code that passed initial checks but later caused integration issues. These problems, often related to communication and signal routing among different components, became costly to resolve as they typically emerged only during OEM integration testing. Solution. AUMOVIO partnered with AWS to create the problem finder, a multi-agent system that utilizes historical problem report data to generate structured detection templates. These templates guide AI agents in identifying issues across entire codebases. The system integrates with existing workflows, allowing for both user interface-based and programmatic access. It employs a phased analysis approach, systematically investigating code against the templates to uncover issues that traditional tools might miss. Results. In a real-world evaluation, the problem finder identified more than 30 high-priority findings across six categories in a single scan of a production automotive component. These findings were net-new and had not been detected by previous static analysis tools or review cycles. The ability to catch these issues early in the development cycle is expected to significantly reduce costs associated with late-stage integration testing. Key insights. The deployment of the problem finder illustrates the importance of integrating AI with human expertise. The continuous feedback loop from domain experts enhances the accuracy of the detection templates, allowing for ongoing improvements in the system's performance. Additionally, the ability to perform delta analysis for modified code supports agile development practices, enabling rapid identification of critical issues during continuous integration. Customer testimonial. No direct quotes are available in the source material. Entities mentioned. Frequently asked questions. How does AUMOVIO's problem finder improve automotive software quality? The problem finder uses multi-agent AI to analyze codebases and detect issues that traditional tools often miss. By transforming historical problem reports into structured detection templates, it identifies semantic inconsistencies before they surface during physical vehicle integration. What are the key benefits of using the problem finder in the development cycle? The problem finder allows for earlier detection of software issues, which can significantly reduce costs associated with late-stage problem resolution. It complements existing tools by catching problems that pass through standard checks, enhancing overall software quality. How does the problem finder utilize historical data for its analysis? It employs a library of problem templates based on past project data and expert insights to guide its analysis. This approach ensures that the AI agent focuses on common problem categories and improves detection accuracy over time through a feedback loop. What are the two operating modes of the problem finder, and when should each be used? The problem finder operates in Full Analysis mode, which scans the entire codebase, and Delta Analysis mode, which focuses on modified code since the last commit. Full Analysis is ideal for initial assessments, while Delta Analysis is suited for continuous integration and routine pull-request reviews. How does the integration of human expertise enhance the problem finder's effectiveness? A human-in-the-loop feedback cycle allows domain experts to review findings, assess their validity, and refine problem templates accordingly. This continuous improvement process sharpens detection criteria and reduces false positives, leading to more accurate results in future analyses.