StellarScience
Joined 4 years ago
Karma
183
Submissions
93
Member since
Jun 1
Recent submissions
Comment · 1 month ago
Stellar Science | Hybrid (USA) Albuquerque NM, Washington DC (Tysons VA), Dayton OH | Full time, interns/co-ops | U.S. citizenship required | https://www.stellarscience.com
Company: We're a small scientific software development company that develops custom scientific and engineering analysis applications in domains including: space situational awareness (monitoring the locations, health and status of on-orbit satellites), image simulation, high power microwave systems, modeling and simulation, laser systems modeling, AI/ML including physics-informed neural networks (PINN), human body thermoregulation, computer vision and image processing, high performance computing (HPC), computer aided design (CAD), and more. All exciting applications and no CRUD. We emphasize high quality code and lightweight processes that free software engineers to be productive.
Experience: Except for interns, we currently require a Bachelors degree in physics, engineering, math, computer science, or a related field. Masters or PhD is a plus. (Roughly 25% of our staff have PhDs.)
Technologies: Lots of C++23, Qt 6.9, CMake, git, OpenGL, CUDA, Boost, Jenkins. Windows and Linux, msvc/gcc/clang/clangcl. AI/ML and analysis projects use Python and C++. Web projects use Java and Typescript/React. We're a bit behind the curve on developer AI adoption, and we're okay with that.
Apply online: at https://www.stellarscience.com/careers/.
Comment · 2 months ago
Python is famously built around hash tables. So much so that several versions ago they made an improvement to the hash table implementation, and the entire language became several percent faster.
However, I'm surprised to see no data structures at all with O(log(N)) complexity. Surely there are some use cases for which that's desirable?
Comment · 2 months ago
Not true. I just bought No Man's Sky on a Steam sale a few months ago and have been having a blast with it - only very occasionally neglecting my adult duties because of it.
Comment · 3 months ago
Stellar Science | Hybrid (USA) Albuquerque NM, Washington DC (Tysons VA), Dayton OH | Full time, interns/co-ops | U.S. citizenship required | https://www.stellarscience.com
Company: We're a small scientific software development company that develops custom scientific and engineering analysis applications in domains including: space situational awareness (monitoring the locations, health and status of on-orbit satellites), image simulation, high power microwave systems, modeling and simulation, laser systems modeling, AI/ML including physics-informed neural networks (PINN), human body thermoregulation, computer vision and image processing, high performance computing (HPC), computer aided design (CAD), and more. All exciting applications and no CRUD. We emphasize high quality code and lightweight processes that free software engineers to be productive.
Experience: Except for interns, we currently require a Bachelors degree in physics, engineering, math, computer science, or a related field. Masters or PhD is a plus. (Roughly 25% of our staff have PhDs.)
Technologies: Lots of C++23, Qt 6.9, CMake, git, OpenGL, CUDA, Boost, Jenkins. Windows and Linux, msvc/gcc/clang/clangcl. AI/ML and analysis projects use Python and C++. Web projects use Java and Typescript/React. We're a bit behind the curve on developer AI adoption, and we're okay with that.
Apply online: at https://www.stellarscience.com/careers/.
Comment · 3 months ago
> I'm trying to separate out which is "don't do this in C/C++" and which is "don't do this in any language".
To achieve high performance, any language would need to implement integer addition with a single machine instruction like 'ADD'. Languages can achieve more intuitive behavior by adding an operand check before the 'ADD', or by using an 'ADC' instruction and checking the carry bit afterwards. But adding branch statements to every add operation would slow computation significantly. Clever languages/compilers might deduce certain invariants and variable ranges that enable it to remove some of these branches to help in certain special cases.
Evidently Rust has an optional "safe add" that adds the branches to check for overflow. So newer languages offer more explicit options. But the core issue is more fundamental than language-specific.
Comment · 3 months ago
> I really don't see what's supposedly awful about that loop
Exactly! That's precisely the problem with it.
(Hint: think about your code when size = 0.)
Comment · 3 months ago
> for (size_t i = size - 1; i < size; i--)
Agreed, seeing that example briefly made me consider whether this blog post was a parody. Sure, it works for this exact example, by relying on i wrapping "down" to MAX_INT on the last iteration. But how long will it take the next developer who works on the code base to figure that out? Will they figure it out before or after committing changes that break it? Or worse yet, before or after shipping code?
Comment · 3 months ago
I liked how the discussion of 'delta = x - y' moved right on to how really you usually want delta = abs(x - y), so let's talk about that instead...
Even beyond Stroustrup, Dijkstra, and Google, this whole panel of C++ luminaries agrees to prefer signed types and explains pretty clearly why:
- 12:12-13:08 - https://www.youtube.com/watch?v=Puio5dly9N8#t=12m12s
- 42:40-45:26 - https://www.youtube.com/watch?v=Puio5dly9N8#t=42m40s
- 1:02:50-1:03:15 - https://www.youtube.com/watch?v=Puio5dly9N8#t=1h2m50s
Comment · 4 months ago
Stellar Science | Hybrid (USA) Albuquerque NM, Washington DC (Tysons VA), Dayton OH | Full time, interns/co-ops | U.S. citizenship required | https://www.stellarscience.com
Company: We're a small scientific software development company that develops custom scientific and engineering analysis applications in domains including: space situational awareness (monitoring the locations, health and status of on-orbit satellites), image simulation, high power microwave systems, modeling and simulation, laser systems modeling, AI/ML including physics-informed neural networks (PINN), human body thermoregulation, computer vision and image processing, high performance computing (HPC), computer aided design (CAD), and more. All exciting applications and no CRUD. We emphasize high quality code and lightweight processes that free software engineers to be productive.
Experience: Except for interns, we currently require a Bachelors degree in physics, engineering, math, computer science, or a related field. Masters or PhD is a plus. (Roughly 25% of our staff have PhDs.)
Technologies: Lots of C++23, Qt 6.9, CMake, git, OpenGL, CUDA, Boost, Jenkins. Windows and Linux, msvc/gcc/clang/clangcl. AI/ML and analysis projects use Python and C++. Web projects use Java and Typescript/React. We're a bit behind the curve on developer AI adoption, and we're okay with that.
Apply online: at https://www.stellarscience.com/careers/.
Comment · 4 months ago
10 months or so ago I believe HN posted "The future of Large Files in Git is Git" : https://tylercipriani.com/blog/2025/08/15/git-lfs/
So is it the future now?
Comment · 4 months ago
Just FYI, finally in C++ you can add a top-level exception handler and call boost::stacktrace::from_current_exception (https://www.boost.org/releases/1.85.0/), and get a stack trace on exit as helpful as in Python or Java.
Comment · 4 months ago
CEOs understands that AI offers potential productivity increases. Using that productivity boost to cut staff is an unimaginative approach. Bolder approaches include using that boost to exceed the expectations of current customers, or to increase sales without proportional increase in staff, etc.
Comment · 5 months ago
> the hyperbole from the tech CEOs about them replacing all white collar workers in 12-18 months
Just keep in mind that you're likely hearing from a limited subset of all tech CEOs.
"CEO Expresses Moderate Confidence that AI Can Enable Modest Productivity Gains" is not an article that gets written, because it would not generate clicks.
Comment · 5 months ago
Stellar Science | Hybrid (USA) Albuquerque NM, Washington DC (Tysons VA), Dayton OH | Full time, interns/co-ops | U.S. citizenship required | https://www.stellarscience.com
Company: We're a small scientific software development company that develops custom scientific and engineering analysis applications in domains including: space situational awareness (monitoring the locations, health and status of on-orbit satellites), image simulation, high power microwave systems, modeling and simulation, laser systems modeling, AI/ML including physics-informed neural networks (PINN), human body thermoregulation, computer vision and image processing, high performance computing (HPC), computer aided design (CAD), and more. All exciting applications and no CRUD. We emphasize high quality code and lightweight processes that free software engineers to be productive.
Experience: Except for interns, we currently require a Bachelors degree in physics, engineering, math, computer science, or a related field. Masters or PhD is a plus. (Roughly 25% of our staff have PhDs.)
Technologies: Lots of C++23, Qt 6.9, CMake, git, OpenGL, CUDA, Boost, Jenkins. Windows and Linux, msvc/gcc/clang/clangcl. AI/ML and analysis projects use Python and C++. Web projects use Java and Typescript/React. We're a bit behind the curve on developer AI adoption, and we're okay with that.
Apply online: at https://www.stellarscience.com/careers/.
Company: We're a small scientific software development company that develops custom scientific and engineering analysis applications in domains including: space situational awareness (monitoring the locations, health and status of on-orbit satellites), image simulation, high power microwave systems, modeling and simulation, laser systems modeling, AI/ML including physics-informed neural networks (PINN), human body thermoregulation, computer vision and image processing, high performance computing (HPC), computer aided design (CAD), and more. All exciting applications and no CRUD. We emphasize high quality code and lightweight processes that free software engineers to be productive.
Experience: Except for interns, we currently require a Bachelors degree in physics, engineering, math, computer science, or a related field. Masters or PhD is a plus. (Roughly 25% of our staff have PhDs.)
Technologies: Lots of C++23, Qt 6.9, CMake, git, OpenGL, CUDA, Boost, Jenkins. Windows and Linux, msvc/gcc/clang/clangcl. AI/ML and analysis projects use Python and C++. Web projects use Java and Typescript/React. We're a bit behind the curve on developer AI adoption, and we're okay with that.
Apply online: at https://www.stellarscience.com/careers/.