This is the new age of utility asset management. For too long, the status quo has revolved around asset risk models that are completely blind to the entire system's performance. That kind of analysis looks more like inventory management than real system planning.
ENGIN is our asset management solution that models the behaviour of the entire system to quantify the impacts of asset failures and investment plans.
By forecasting risk, reliability, demand growth, and contingencies across different scenarios, and by aligning maintenance planning to capital investment strategies, we empower utility asset managers to make investment decisions with confidence, backed by real engineering analysis.
Rating Reviews
Rating is calculated based on
3
reviews and is evolving.
Pros: The projects here are genuinely exciting and push the boundaries of AI technology. It's a great environment to learn and grow, especially in areas like machine learning and data science. The team is full of bright individuals who are always willing to share knowledge and collaborate. The company culture encourages innovation and problem-solving, which makes coming to work feel rewarding. Remote flexibility has also been a major plus.
Cons: While generally good, there are occasional periods where project demands can lead to longer hours than ideal, impacting work-life balance slightly. Communication from upper leadership can sometimes be a bit inconsistent, leaving teams uncertain about long-term strategic shifts. Streamlining some internal processes would also be beneficial to increase overall efficiency, particularly for backend engineering tasks.
Advice to Management: Continue fostering innovation and cross-team collaboration. Consider enhancing communication channels regarding strategic direction to ensure everyone feels aligned and informed about the company's future.
Show more
Pros: Working as a Software Engineer here has been great. The engineering team is really supportive, and I've learned a ton, especially with the emerging AI technologies. The work flexibility is a huge plus, with a solid hybrid model that truly helps with work-life balance. It's a stable place to build a career in the tech industry.
Cons: Communication between some departments could be smoother, which occasionally slows down project approvals. While career growth is there, the promotion process can feel a bit slow for experienced engineers looking to advance quickly.
Advice to Management: Focus on streamlining inter-departmental communication channels to speed up project approvals. Also, review and clarify the accelerated career progression pathways for senior engineers.
Show more
Pros: I appreciate the collaborative atmosphere and supportive colleagues here. As a Software Engineer, I get to learn new technologies and work on engaging projects in the tech industry. The hybrid model offers decent work-life balance, making it a stable environment to grow skills.
Cons: Promotion pathways can feel slow for quick career progression. Also, inter-departmental communication could be more streamlined to improve project coordination and efficiency. Minor points, but worth noting.
Advice to Management: Focus on clarifying and accelerating promotion pathways, and invest in tools or processes to streamline cross-departmental communication for better project flow.
Show more
Common Questions About
Engineered Intelligence Inc
What's the hiring process like for a Software Engineer at Engineered Intelligence Inc. in Austin, Texas?
The hiring process for Software Engineers at Engineered Intelligence Inc. in Austin usually involves a recruiter screen, a technical phone interview, and then a few rounds of on-site interviews covering coding and system design.
What is the typical working culture like at Engineered Intelligence Inc for AI researchers?
The culture at Engineered Intelligence Inc is highly collaborative, with a strong emphasis on innovation and continuous learning in the AI research field. Teams often work on challenging projects that require close teamwork and knowledge sharing, fostering a dynamic environment for professionals in this sector.
What is Engineered Intelligence Inc's policy on remote work for software engineers in their San Francisco office?
Engineered Intelligence Inc offers a hybrid work model, allowing software engineers in the San Francisco office to work from home up to two days per week. This approach balances in-person collaboration with the flexibility that many tech professionals seek in the AI industry.
CA
