China's largest auto show kicked off in Beijing on Thursday with a dazzling display of the latest electric vehicles (EVs) from top automakers, underscoring the nation's position as the world's largest electric vehicle market.

Automakers are gearing up to reveal 117 new models, a notable increase from last year's 93 showcased in Shanghai. Organizers reported a total of 278 new energy vehicles (NEVs) set to debut, seven more than the previous year. This surge in innovation comes as NEV sales reached a milestone in early April, constituting over 50% of car sales in China, according to auto association data.

The industry has witnessed a fierce price war over the past year, driving down profit margins as automakers vie to introduce newer, more affordable models and enticing promotions.

"At the Beijing auto show, there's no denying the waning interest in gasoline vehicles. Everyone is seeking the latest advancements in intelligence and electrification," remarked William Li, founder and CEO of Chinese EV maker Nio (9866.HK), speaking to Reuters. "If you attend, there's no question about EVs anymore. It's not just the future; it's the present."

Chinese manufacturers like BYD (002594.SZ) and newcomer Xiaomi (1810.HK) attracted crowds, with Xiaomi stealing the spotlight by hosting one of the earliest press events. Xiaomi CEO Lei Jun revealed impressive pre-orders for its SU7 sedan, including buyers who previously owned vehicles from BMW (BMWG.DE) and Audi. BYD, the world's largest EV maker, showcased its premium brands Yangwang and Denza in a bid to shift its image from a budget automaker.

Foreign automakers, eager to realign their strategies with China's electric shift, announced plans to bolster local production and research. Nissan Motor (7201.T) and Mazda Motor (7261.T) from Japan unveiled models tailored for Chinese drivers, while General Motors (GM.N) excluded traditional engine vehicles from its lineup for the first time. Mercedes Benz (MBGn.DE) dismissed rumors of abandoning electrification as it unveiled a lineup of new EVs.

Tesla (TSLA.O) notably skipped the show again, following an incident in 2021 where a disgruntled customer protested atop a displayed Tesla over brake complaints.

Chinese brands outlined ambitious overseas plans, emphasizing innovation amid concerns of industry overcapacity in Europe and the U.S.

"As the Chinese automotive industry enters a new era of globalization and domestic brands gain strength, the emergence of Chinese vehicles on the world stage is a growing trend," noted Great Wall Motor (601633.SS) President Mu Feng.

Smart driving technologies took center stage, with domestically developed advanced driving assistance systems rivaling Tesla's Full Self-Driving (FSD). Companies like Seres (601127.SS) and Guangzhou Automobile Group (GAC) (601238.SS) showcased systems supplied by Huawei Technologies (HWT.UL), while others like BYD and XPeng (9868.HK) touted in-house developed features.

BYD announced plans to launch revamped models equipped with its self-developed advanced driving assistance system (ADAS), while XPeng pledged to continuously upgrade software to maintain a competitive edge.

GAC revealed intentions to introduce flagship models with Huawei's ADAS from January 2025, one of several state-owned automakers partnering with Huawei to leverage its technology.

"Huawei leads in advanced assistance driving capabilities," stated GAC General Manager Feng Xingya. "We are committed to ensuring that GAC products offer the most advanced technologies to consumers."

Great Wall Motor is setting its sights on the global stage, aiming to surpass 1 million units in overseas sales by 2030, with a significant portion being premium models, according to an announcement made on its official WeChat account. This new target marks a shift from its previous goal outlined in October last year, where the company aimed for annual overseas sales of 1 million units by 2025, including 400,000 units produced locally abroad.

With 27 years of experience pioneering overseas markets, Great Wall Motor is ramping up its investment efforts abroad, integrating its research and development, production, supply, sales, and service systems under its single brand umbrella. The automaker boasts a widespread presence, having exported vehicles to over 170 countries and regions, with a network of more than 1,000 sales outlets worldwide.

Despite its ambitious plans and solid global footing, Great Wall Motor's trajectory has faced delays, particularly amidst a challenging market landscape. This includes an anti-subsidy investigation initiated by the European Commission into imports of battery electric vehicles from China, a move that prompted Great Wall Motor to respond swiftly and strategically, including the establishment of a European R&D center.

Notably, Great Wall Motor's vice president and head of overseas business, Shi Qingke, reiterated the company's commitment to achieving the 1 million annual sales target by 2025, with a substantial portion of those units being locally manufactured abroad. In 2023, Great Wall Motor recorded impressive sales figures, totaling over 1.2 million vehicles, with overseas sales surging by over 82%, contributing significantly to its overall performance.

As Great Wall Motor navigates the complexities of global markets, its revised timeline underscores a pragmatic approach to ensure sustainable growth and continued success on the international stage.

The German parliament has granted approval for legislation aimed at facilitating the acquisition of citizenship and removing restrictions on holding dual citizenship last friday. The proposal, advocated by Chancellor Olaf Scholz's center-left, socially liberal coalition, garnered a majority vote of 382-234, with 23 lawmakers abstaining. While the government contends that the move will enhance immigrant integration and attract skilled labor, the main center-right opposition criticizes it, asserting that it could devalue German citizenship.

The approved legislation reduces the residency requirement for citizenship eligibility from eight to five years, or three years in the case of "special integration accomplishments." German-born children automatically become citizens if one parent has been a legal resident for five years, down from the current eight years. Additionally, the law eliminates restrictions on dual citizenship, a departure from the existing requirement that individuals from countries outside the European Union and Switzerland relinquish their previous nationality upon gaining German citizenship.

The government notes that 14 percent of the population, over 12 million out of 84.4 million inhabitants, lacks German citizenship, with around 5.3 million having resided in Germany for at least a decade. Germany's naturalization rate is reportedly below the EU average. In 2022, 168,500 people were granted German citizenship, the highest figure since 2002, with a notable increase in Syrian citizens being naturalized.

Interior Minister Nancy Faeser emphasizes that the reform aligns Germany with European neighbors like France and aims to attract skilled workers. The legislation specifies that those seeking naturalization must be able to support themselves and their dependents, with exceptions for "guest workers" who came to West Germany before 1974 and those who arrived in communist East Germany to work.

The existing requirement for citizenship applicants to adhere to the "free democratic fundamental order" is retained, with the new version explicitly stating that antisemitic and racist acts are incompatible with this commitment. However, the conservative opposition argues that Germany is relaxing citizenship requirements at a time when other countries are tightening theirs, describing the legislation as a "citizenship devaluation bill."

The citizenship law overhaul is part of a broader series of social reforms agreed upon by Scholz's three-party coalition upon taking office in late 2021.

China has emerged as a formidable player in the global electric vehicle (EV) market, and the recent unveiling of Xiaomi Corp.'s first electric vehicle, the SU7, is a testament to the nation's ambitious strides in automotive innovation. Xiaomi's entry into the EV arena, targeting industry giants like Tesla Inc. and Porsche AG, signals a new chapter in the competitive landscape of China's burgeoning electric vehicle sector.

At a grand event hosted at the China National Convention Center, Xiaomi's co-founder and CEO, Lei Jun, proudly introduced the SU7, a five-seat sedan designed to rival luxury car brands. The SU7 boasts an impressive 800-kilometer range per charge, adjustable spoilers, a top speed of 265 kilometers per hour, and a unique array of colors. Xiaomi plans to collaborate with renowned Chinese battery manufacturers, Contemporary Amperex Technology Co. Ltd. and BYD Co., offering consumers single and dual motor configuration options.

Lei Jun's foray into the EV market is backed by a substantial $10 billion investment, aligning with Xiaomi's disruptive impact in the smartphone industry. The SU7, positioned alongside Porsche's Taycan Turbo and Tesla's Model S in terms of performance and technology, is expected to be competitively priced, although the exact figures are yet to be disclosed.

While Xiaomi aims to revolutionize the EV market, it faces challenges in China's evolving regulatory landscape. Constraints such as manufacturing permit limitations prompted Xiaomi to form a partnership with Beijing Automotive Group Co. for EV production. The discontinuation of significant state EV subsidies in 2022 adds another layer of complexity to Xiaomi's entry into the competitive market.

Lei Jun remains undeterred, positioning the SU7 as a viable alternative to higher-priced competitors. Addressing market speculation about the SU7's price, Lei hinted that it would surpass the rumored 99,000 yuan, aligning more closely with higher-end models often priced over 400,000 yuan. 

Xiaomi's venture into the electric vehicle market adds a new dimension to China's rapidly evolving automotive landscape. With the SU7's impressive features and Lei Jun's ambitious vision, Xiaomi aims to disrupt the status quo and compete with established players on both the domestic and global fronts. As China continues to assert itself as a key player in the electric vehicle revolution, Xiaomi's SU7 promises to be a pivotal contender, embodying the nation's commitment to driving innovation and sustainability in the automotive sector.

China's commitment to EVs remains evident as the country leads global sales, experiencing a 29% increase in EV sales year-to-date as of September. Xiaomi's entry into the EV market aligns with broader trends, reflecting China's dedication to sustainable transportation.

The annual MATLAB EXPO U.K. event attracted 600 delegates this year, offering a platform for users to delve into the latest advancements. The focus of the event spanned networking, technical presentations, and shared experiences covering various technology and science domains, including AI, telecommunications, autonomous systems, robotics, and electrification.

Richard Rovner, VP of Marketing at MathWorks in Natick, Massachusetts, emphasized the significance of MATLAB EXPO in user communication. He pointed out the challenge users face in keeping up with over 130 software products and biannual releases. Despite the wealth of information available on MathWorks' website and through regular digital communications, Rovner highlighted the dedicated and focused nature of the event, providing users with the opportunity to stay abreast of new capabilities and learn from each other.

In a discussion about the increasing complexity of embedded systems, Rovner acknowledged the two-decade growth in complexity across various applications, such as aero, auto, and industrial automation. He emphasized the integration of software into the early stages of the design process, making software design an integral part of the entire workflow.

To illustrate the complexity of embedded systems, Rovner shared an example of an intelligent sensor application incorporating AI. He highlighted the need to select the correct algorithm, plan algorithm training and testing, consider embedded design, deployment to the network, and address trends like digital twins and autonomous operation. Rovner emphasized the relevance of adopting a model-based design perspective, offering a platform that accelerates the development of similar devices.

Jos Martin, Director of Engineering at MathWorks, contributed insights into the evolving nature of system complexity. He noted that what was considered simple two decades ago is now significantly more intricate. Martin emphasized the substantial increase in lines of code, from 30,000 to two million, in contemporary systems. He explained why startups opt for MathWorks products from the outset, citing the necessity for rapid, cost-effective development of complex systems to create valuable products.

Martin also discussed the changing approach to system design, driven partly by necessity. With the market pushing for innovative uses of embedded hardware, complexity has become intrinsic due to the abundance of computational resources available in modern hardware.

Highlighting the importance of productivity, Martin suggested that both large and small organizations should prioritize efficiency. He shared an example of a one-person development organization realizing increased productivity through the use of system-level design tools. Martin advocated for a system model approach, using toolchains to enhance effectiveness and focusing on higher-level design concepts to improve productivity and produce higher-quality designs.

Rovner concluded by advising engineers and developers to consider modeling and simulation tools when designing engineered products. He emphasized that this approach accelerates the transition from prototype to product, reduces costs, and minimizes errors by identifying bugs early in the design process.

The adoption of new technologies plays a pivotal role in business transformation, enhancing productivity and profitability. Gartner has identified five key technologies that businesses should consider incorporating to enrich their operational capabilities.

Here are the five technologies identified by Gartner:

• The Digital Human: While generative AI isn't at the top of the list, the concept of the digital human, a subset of generative AI, takes the spotlight. Digital humans are AI creations that embody real individuals in various aspects, such as personality, appearance, humor, and knowledge. Many companies have adopted digital humans to boost engagement and address the growing interest in AI. However, Gartner cautions against inappropriate behaviors like biases and stereotypes that may arise, emphasizing the need to establish rules.
• Satellite Communications: This technology, exemplified by SpaceX's Starlink, offers low-latency connectivity from low Earth orbit satellites. Satellite communications are garnering increasing interest as they have the potential to revolutionize communication between individuals and businesses. However, Gartner highlights that this emerging industry requires a cautious approach due to its complexity.
• Miniature and Ambient IoT (Internet of Things): This variant of the Internet of Things (IoT) enables tracking and object detection without the need for batteries. This opens the door to more extensive information collection at a lower cost, with the potential to create new ecosystems, business models, and innovative products. However, Gartner warns that social and regulatory issues must be considered before adopting this technology.
• Secure Computation: In a world where data protection is of paramount importance, secure computation allows for calculations while preserving the confidentiality of information. Gartner underscores that implementing secure computing poses challenges in terms of costs, skills, and performance, but emerging technologies such as optical accelerators will play a key role in its realization.
• Autonomous Robots: Autonomous robots, capable of operating with minimal human intervention and adapting to different environments, offer a wide range of business applications. They can perform tasks such as object lifting, surveillance, and data collection. However, Gartner highlights the many challenges associated with these technologies, including limitations in their capabilities and business, legal, and ethical implications.

These five technologies are considered potential drivers of transformation, offering businesses new opportunities and significant advantages. However, their adoption requires careful evaluation and consideration of the various issues associated with each of them.

As the demand for generative AI technology continues to rise, industry giants, including Microsoft, Google, AWS, and OpenAI, are exploring the development of their own custom chips tailored for AI workloads. Contrary to popular belief, the primary driver behind this push isn't chip shortages but rather a strategic shift toward optimizing the efficiency and cost-effectiveness of processing generative AI queries.

Speculation has swirled around efforts by OpenAI and Microsoft to develop custom chips for handling generative AI tasks, with Microsoft collaborating with AMD on a project codenamed Athena and OpenAI rumored to be eyeing potential acquisitions to bolster its chip-design capabilities. In the meantime, Google and AWS have already introduced their own chips for AI workloads in the form of Tensor Processing Units (TPUs) for Google and AWS' Trainium and Inferentia chips.

So, what's motivating these companies to delve into custom chip development? Analysts and experts point to two key factors: the cost of processing generative AI queries and the efficiency of existing chips, primarily Graphics Processing Units (GPUs). Currently, Nvidia's A100 and H100 GPUs dominate the AI chip market, but their efficiency in handling generative AI workloads is under scrutiny.

Nina Turner, a research manager at IDC, notes that GPUs may not be the most efficient processors for generative AI tasks, and creating custom silicon could potentially address this efficiency issue. GPUs, while highly effective for matrix inversion, a fundamental mathematical process in AI, are costly to operate. The pursuit of silicon processors optimized for specific AI workloads could help alleviate cost-related concerns.

Custom silicon, according to Turner, has the potential to reduce power consumption, improve compute interconnectivity, and enhance memory access, ultimately lowering query costs. For instance, OpenAI's operation cost for ChatGPT is roughly $694,444 per day, which translates to 36 cents per query, based on a report from research firm SemiAnalysis.

Furthermore, custom silicon provides the advantage of exerting control over chip access and designing elements tailored specifically for large language models (LLMs), thereby enhancing query speed.

This shift towards custom chip design is likened to Apple's approach to producing chips for its devices, where specialization trumps general-purpose processors. Despite the popularity of Nvidia's GPUs, they, too, are considered general-purpose devices. Custom chips could be the answer to optimizing performance for specific functions, such as image processing and specialized generative AI.

However, experts caution that developing custom chips is no easy feat. It involves significant challenges, including high investment requirements, lengthy design and development timelines, complex supply chain issues, a scarcity of talent, and the need for a sufficient volume of production to justify the expenditure.

For companies embarking on this journey from scratch, the process can take a minimum of two to two and a half years, with the scarcity of chip design talent causing delays. Several large tech companies have mitigated this challenge by either acquiring startups with expertise in chip development or partnering with experienced firms in the field.

Despite ongoing discussions about chip shortages, experts believe that the move towards custom chip development by companies like OpenAI and Microsoft is more about addressing inference workloads for LLMs, particularly as Microsoft continues to incorporate AI features into its applications. It appears that these companies have specific requirements that aren't met by existing solutions, and a specialized chip for inference workloads, which is more cost-effective and efficient than large GPUs, may be the solution.

Acquiring a major chip designer may not be a cost-effective approach for OpenAI, given the substantial expenses involved in designing and producing custom chips. Instead, experts suggest that OpenAI could explore the acquisition of startups with AI accelerators, a more economically viable option.

To support inferencing workloads, potential acquisition targets could include Silicon Valley firms like Groq, Esperanto Technologies, Tenstorrent, and Neureality. Additionally, SambaNova might be a suitable candidate if OpenAI is willing to transition away from Nvidia GPUs and adopt an on-premises approach, moving beyond a cloud-only paradigm.

In the fast-paced world of technology and user experience (UX) design, trends and paradigms are constantly evolving. Just a few years ago, it seemed like we were in the midst of a "Golden Age" of UX, where design thinking and user-centered approaches were at the forefront of innovation. However, as we move further into the 21st century, some experts argue that the Golden Age of UX may be over, and we're entering a new era – the post-design era. In this article, we will explore this intriguing notion and what it means for the future of UX.

The Golden Age of UX

The Golden Age of UX, often associated with the early to mid-2010s, was marked by a heightened focus on user-centered design. During this period, businesses realized the importance of creating products and services that not only functioned well but also offered exceptional user experiences. Companies like Apple, Google, and Airbnb led the charge, setting the standard for intuitive interfaces and seamless interactions.Design thinking, a problem-solving approach that prioritizes empathy for the end-user, gained immense popularity. It was embraced not only by design professionals but also by executives and leaders across various industries who recognized its potential to drive innovation and customer satisfaction.Furthermore, advancements in technology, such as responsive web design and mobile apps, provided new opportunities for designers to create engaging and accessible experiences. It seemed that the UX community was in its prime, with design taking center stage in the business world.

The Post-Design Era

However, as the digital landscape has matured and design principles have become more widely adopted, some argue that we have entered a new era – the post-design era. What exactly does this mean?

Design as a Given: In the post-design era, good design is no longer a competitive advantage; it's an expectation. Users now assume that the products and services they interact with will be well-designed and easy to use. As a result, design becomes a baseline requirement, rather than a standout feature.

Integration of AI and Automation: The rise of artificial intelligence and automation has changed the way we think about UX. Machine learning algorithms can predict user behavior and adapt interfaces accordingly. Automation streamlines processes, reducing the need for traditional design interventions. This shift challenges designers to find new ways to add value beyond the automated aspects of UX.

The Evolution of User Expectations: Users today have higher expectations than ever before. They demand personalized experiences, instant gratification, and products that seamlessly integrate into their lives. This necessitates a shift in focus from traditional design aesthetics to the creation of holistic, end-to-end experiences.

Cross-disciplinary Collaboration: The post-design era emphasizes collaboration between designers and professionals from diverse fields, such as psychology, data science, and engineering. To create truly exceptional user experiences, designers must work in tandem with experts who can provide insights into user behavior, cognitive processes, and emerging technologies.

While it's tempting to proclaim that the Golden Age of UX is over, it's more accurate to say that UX design has evolved. The principles of user-centered design and design thinking remain essential, but they are no longer the sole focus. We now live in a world where good design is expected, and designers must continually adapt to new challenges and technologies.The post-design era presents exciting opportunities for UX professionals to innovate, collaborate, and push the boundaries of what's possible. While the landscape may have changed, the importance of creating meaningful and user-centric experiences remains as critical as ever. UX designers who embrace this evolution will continue to play a vital role in shaping the digital future, even if the "Golden Age" is behind us.

In the ever-evolving landscape of data collection and artificial intelligence, a notable trend is emerging: websites are increasingly implementing measures to restrict OpenAI from scraping their content. This development has raised important questions about data privacy, the protection of intellectual property, and the evolving relationship between web scraping and website owners.

The Proliferation of Web Scraping

Web scraping, the automated process of extracting data from websites, has become a vital tool for various applications, from data analysis and market research to content aggregation and price tracking. OpenAI, known for its cutting-edge AI technologies, has leveraged web scraping to gather and analyze vast amounts of data from the internet to train its AI models.

The Concerns Arising from OpenAI's Web Scraping

While web scraping offers undeniable advantages, concerns have arisen regarding its implications for website owners and content creators. Some of the primary concerns include:

• Data Privacy: Web scraping can potentially access and collect sensitive user data, leading to concerns about privacy violations.
• Intellectual Property: Content creators and website owners worry about the unauthorized use of their copyrighted material or proprietary information.
• Server Load: Aggressive web scraping can increase server load, leading to slower website performance and increased hosting costs.

Website Responses to OpenAI Web Scraping

In response to these concerns, many websites have taken action to prevent OpenAI and other web scraping activities. Some of the methods employed by websites include:

• Robots.txt: Websites often use the "robots.txt" file to communicate with web crawlers and explicitly specify which parts of their site can be scraped and which cannot.
• CAPTCHA and Rate Limiting: Websites may employ CAPTCHA challenges and rate limiting to deter automated scraping bots.
• IP Blocking: Websites can block access from IP addresses associated with known web scrapers or excessive traffic.

Balancing Act: Protecting Interests

The tension between web scraping and website owners underscores the importance of finding a balance between data collection for legitimate purposes and respecting the rights and interests of website owners. Here are some key considerations:

• Transparency: Web scrapers should be transparent about their intentions and comply with website-specific rules, such as those outlined in the robots.txt file.
• Data Privacy: Web scrapers must prioritize data privacy and ensure that they are not collecting personal or sensitive information without consent.
• Ethical Scraping: Ethical web scraping practices involve collecting data responsibly and only for legitimate purposes, such as research, without causing harm to websites.

The Future of Web Scraping

As technology and regulations continue to evolve, the future of web scraping remains dynamic. Innovations like AI-powered content generation, improved data accessibility, and evolving legal frameworks will shape the landscape.

In conclusion, the growing trend of websites blocking OpenAI's web scraping reflects a complex and evolving relationship between data collectors and data providers. As stakeholders work to strike a balance between legitimate data collection and respecting the rights of website owners, a responsible and ethical approach to web scraping will be crucial to navigate these challenges successfully.

Sweden has long been at the forefront of aerospace technology and innovation. With a rich history in aviation dating back to the early 20th century, the country has been home to some of the most advanced aerospace companies in the world. In recent years, Sweden has continued to invest in this vital industry through the 2021-25 Bill, which seeks to bolster the nation's aerospace capabilities and maintain its position as a global leader.

The 2021-25 Bill is a government initiative that outlines Sweden's strategic priorities and funding allocations for the next four years. It includes a significant investment in the aerospace sector, with a particular focus on research and development. The goal of this investment is to strengthen the industry's competitiveness, increase its contribution to the Swedish economy, and promote sustainable growth.

One of the key components of the 2021-25 Bill is the establishment of the Aerospace Technology Centre, which will serve as a hub for research and development in the field of aerospace. The centre will bring together academia, industry, and government to collaborate on cutting-edge projects, develop new technologies, and train the next generation of aerospace professionals.

The Aerospace Technology Centre will focus on several priority areas, including propulsion, materials science, autonomous systems, and space exploration. These areas are critical to the advancement of the aerospace industry and will play a vital role in shaping its future. By investing in these priority areas, Sweden is positioning itself as a leader in the global aerospace market and laying the foundation for continued growth and innovation.

In addition to the Aerospace Technology Centre, the 2021-25 Bill also includes funding for several other initiatives aimed at supporting the aerospace industry. These include investments in infrastructure, such as airports and research facilities, as well as support for small and medium-sized enterprises (SMEs) in the sector. The bill also prioritizes the development of sustainable aviation technologies, such as electric and hybrid aircraft, which will play a crucial role in reducing the industry's environmental impact.

Sweden's commitment to the aerospace industry has already yielded significant benefits for the country. According to a report by the Swedish Federation of Business Owners, the industry contributes over SEK 100 billion ($11.7 billion) to the Swedish economy each year and employs around 15,000 people. With the 2021-25 Bill, the government hopes to build on this success and create even more opportunities for growth and innovation.

In conclusion, Sweden's continued investment in the aerospace industry through the 2021-25 Bill demonstrates the country's commitment to maintaining its position as a global leader in this vital sector. By prioritizing research and development, infrastructure, and sustainability, Sweden is laying the groundwork for continued growth and innovation in the years to come. As the industry continues to evolve and face new challenges, Sweden's investment will be critical in ensuring that it remains at the forefront of this exciting and dynamic field.

Related to that take off, Inter-Consulting is looking for Swedish nationasls for various defence engineerings roles such as :

• Catia V5 design engineers
• CREO design engineers
• NX design engineers
• Electrical engineers
• Chassis design engineers
• Mechanical design engineers
• Inventor skills
• Vehicle system
• Power electrical system
• Electronic architect
• CAE engineers
• Aerospace design engineers
• Quality Assurance engineers
• Technical Project Manager
• Physical testing Verification engineers
• Power electrical engineers
• Hardware testing engineers
• Embedded software engineers
• NVH testing engineers
• Software Developers
• Devops engineers
• Functional Safety engineers
• HULL design engineers
• Aero jet design engineers
• Submarines engineers
• Program manager